---
_id: '5675'
abstract:
- lang: eng
text: When responding to natural disasters, professional relief units are often
supported by many volunteers which are not affiliated to humanitarian organizations.
The effective coordination of these volunteers is crucial to leverage their capabilities
and to avoid conflicts with professional relief units. In this paper, we empirically
identify key requirements that professional relief units pose on this coordination.
Based on these requirements, we suggest a decision model. We computationally solve
a real-world instance of the model and empirically validate the computed solution
in interviews with practitioners. Our results show that the suggested model allows
for solving volunteer coordination tasks of realistic size near-optimally within
short time, with the determined solution being well accepted by practitioners.
We also describe in this article how the suggested decision support model is integrated
in the volunteer coordination system which we develop in joint cooperation with
a disaster management authority and a software development company.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. Decision Support for the Optimal Coordination of
Spontaneous Volunteers in Disaster Relief. In: Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management. ; 2018.'
apa: Rauchecker, G., & Schryen, G. (2018). Decision Support for the Optimal
Coordination of Spontaneous Volunteers in Disaster Relief. In Proceedings of
the 15th International Conference on Information Systems for Crisis Response and
Management. Rochester, NY, USA.
bibtex: '@inproceedings{Rauchecker_Schryen_2018, title={Decision Support for the
Optimal Coordination of Spontaneous Volunteers in Disaster Relief}, booktitle={Proceedings
of the 15th International Conference on Information Systems for Crisis Response
and Management}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2018}
}'
chicago: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal
Coordination of Spontaneous Volunteers in Disaster Relief.” In Proceedings
of the 15th International Conference on Information Systems for Crisis Response
and Management, 2018.
ieee: G. Rauchecker and G. Schryen, “Decision Support for the Optimal Coordination
of Spontaneous Volunteers in Disaster Relief,” in Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management, Rochester,
NY, USA, 2018.
mla: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination
of Spontaneous Volunteers in Disaster Relief.” Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management, 2018.
short: 'G. Rauchecker, G. Schryen, in: Proceedings of the 15th International Conference
on Information Systems for Crisis Response and Management, 2018.'
conference:
location: Rochester, NY, USA
name: 15th International Conference on Information Systems for Crisis Response and
Management
date_created: 2018-11-14T15:35:54Z
date_updated: 2022-01-06T07:02:28Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:25:06Z
date_updated: 2018-12-13T15:05:44Z
file_id: '6020'
file_name: 2018_ISCRAM_Conference_Proceedings - Publication Version.pdf
file_size: 488472
relation: main_file
file_date_updated: 2018-12-13T15:05:44Z
has_accepted_license: '1'
keyword:
- Coordination of spontaneous volunteers
- volunteer coordination system
- decision support
- scheduling optimization model
- linear programming
language:
- iso: eng
oa: '1'
publication: Proceedings of the 15th International Conference on Information Systems
for Crisis Response and Management
status: public
title: Decision Support for the Optimal Coordination of Spontaneous Volunteers in
Disaster Relief
type: conference
user_id: '61579'
year: '2018'
...
---
_id: '9999'
abstract:
- lang: eng
text: Ultrasonic wire bonding is an indispensable process in the industrial manufacturing
of semiconductor devices. Copper wire is increasingly replacing the well-established
aluminium wire because of its superior electrical, thermal and mechanical properties.
Copper wire processes differ significantly from aluminium processes and are more
sensitive to disturbances, which reduces the range of parameter values suitable
for a stable process. Disturbances can be compensated by an adaption of process
parameters, but finding suitable parameters manually is difficult and time-consuming.
This paper presents a physical model of the ultrasonic wire bonding process including
the friction contact between tool and wire. This model yields novel insights into
the process. A prototype of a multi-objective optimizing bonding machine (MOBM)
is presented. It uses multi-objective optimization, based on the complete process
model, to automatically select the best operating point as a compromise of concurrent
objectives.
author:
- first_name: Andreas
full_name: Unger, Andreas
last_name: Unger
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Michael
full_name: Brökelmann, Michael
last_name: Brökelmann
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Unger A, Hunstig M, Meyer T, Brökelmann M, Sextro W. Intelligent Production
of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and
Challenges. In: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics,
Pasadena, CA, 2018. Vol Vol. 2018, No. 1, pp. 000572-000577. ; 2018. doi:10.4071/2380-4505-2018.1.000572'
apa: Unger, A., Hunstig, M., Meyer, T., Brökelmann, M., & Sextro, W. (2018).
Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights,
Opportunities and Challenges. In In Proceedings of IMAPS 2018 – 51st Symposium
on Microelectronics, Pasadena, CA, 2018 (Vol. Vol. 2018, No. 1, pp. 000572-000577.).
https://doi.org/10.4071/2380-4505-2018.1.000572
bibtex: '@inproceedings{Unger_Hunstig_Meyer_Brökelmann_Sextro_2018, title={Intelligent
Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities
and Challenges}, volume={Vol. 2018, No. 1, pp. 000572-000577.}, DOI={10.4071/2380-4505-2018.1.000572},
booktitle={In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics,
Pasadena, CA, 2018}, author={Unger, Andreas and Hunstig, Matthias and Meyer, Tobias
and Brökelmann, Michael and Sextro, Walter}, year={2018} }'
chicago: Unger, Andreas, Matthias Hunstig, Tobias Meyer, Michael Brökelmann, and
Walter Sextro. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization
– Insights, Opportunities and Challenges.” In In Proceedings of IMAPS 2018
– 51st Symposium on Microelectronics, Pasadena, CA, 2018, Vol. Vol. 2018,
No. 1, pp. 000572-000577., 2018. https://doi.org/10.4071/2380-4505-2018.1.000572.
ieee: A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, and W. Sextro, “Intelligent
Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities
and Challenges,” in In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics,
Pasadena, CA, 2018, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577.
mla: Unger, Andreas, et al. “Intelligent Production of Wire Bonds Using Multi-Objective
Optimization – Insights, Opportunities and Challenges.” In Proceedings of IMAPS
2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, vol. Vol. 2018,
No. 1, pp. 000572-000577., 2018, doi:10.4071/2380-4505-2018.1.000572.
short: 'A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, W. Sextro, in: In Proceedings
of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018.'
date_created: 2019-05-27T10:27:45Z
date_updated: 2020-05-07T05:33:56Z
department:
- _id: '151'
doi: 10.4071/2380-4505-2018.1.000572
keyword:
- wire bonding
- multi-objective optimization
- process model
- copper wire
- self-optimization
language:
- iso: eng
project:
- _id: '92'
grant_number: 02 PQ2210
name: Intelligente Herstellung zuverlässiger Kupferbondverbindungen
publication: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena,
CA, 2018
quality_controlled: '1'
status: public
title: Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights,
Opportunities and Challenges
type: conference
user_id: '210'
volume: Vol. 2018, No. 1, pp. 000572-000577.
year: '2018'
...
---
_id: '48839'
abstract:
- lang: eng
text: We analyze the effects of including local search techniques into a multi-objective
evolutionary algorithm for solving a bi-objective orienteering problem with a
single vehicle while the two conflicting objectives are minimization of travel
time and maximization of the number of visited customer locations. Experiments
are based on a large set of specifically designed problem instances with different
characteristics and it is shown that local search techniques focusing on one of
the objectives only improve the performance of the evolutionary algorithm in terms
of both objectives. The analysis also shows that local search techniques are capable
of sending locally optimal solutions to foremost fronts of the multi-objective
optimization process, and that these solutions then become the leading factors
of the evolutionary process.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects
in Bi-Objective Orienteering. In: Proceedings of the Genetic and Evolutionary
Computation Conference. GECCO ’18. Association for Computing Machinery; 2018:585–592.
doi:10.1145/3205455.3205548'
apa: Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2018).
Local Search Effects in Bi-Objective Orienteering. Proceedings of the Genetic
and Evolutionary Computation Conference, 585–592. https://doi.org/10.1145/3205455.3205548
bibtex: '@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2018, place={New
York, NY, USA}, series={GECCO ’18}, title={Local Search Effects in Bi-Objective
Orienteering}, DOI={10.1145/3205455.3205548},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Grimme,
Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}, year={2018},
pages={585–592}, collection={GECCO ’18} }'
chicago: 'Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike
Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings
of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18.
New York, NY, USA: Association for Computing Machinery, 2018. https://doi.org/10.1145/3205455.3205548.'
ieee: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search
Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary
Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.'
mla: Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.”
Proceedings of the Genetic and Evolutionary Computation Conference, Association
for Computing Machinery, 2018, pp. 585–592, doi:10.1145/3205455.3205548.
short: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings
of the Genetic and Evolutionary Computation Conference, Association for Computing
Machinery, New York, NY, USA, 2018, pp. 585–592.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:42:14Z
department:
- _id: '819'
doi: 10.1145/3205455.3205548
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- orienteering
- transportation
language:
- iso: eng
page: 585–592
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-5618-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’18
status: public
title: Local Search Effects in Bi-Objective Orienteering
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '48867'
abstract:
- lang: eng
text: Assessing the performance of stochastic optimization algorithms in the field
of multi-objective optimization is of utmost importance. Besides the visual comparison
of the obtained approximation sets, more sophisticated methods have been proposed
in the last decade, e. g., a variety of quantitative performance indicators or
statistical tests. In this paper, we present tools implemented in the R package
ecr, which assist in performing comprehensive and sound comparison and evaluation
of multi-objective evolutionary algorithms following recommendations from the
literature.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr. In: Proceedings of the Genetic and Evolutionary Computation
Conference Companion. GECCO ’18. Association for Computing Machinery; 2018:1350–1356.
doi:10.1145/3205651.3208312'
apa: Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr. Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 1350–1356. https://doi.org/10.1145/3205651.3208312
bibtex: '@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18},
title={Performance Assessment of Multi-Objective Evolutionary Algorithms with
the R Package ecr}, DOI={10.1145/3205651.3208312},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob},
year={2018}, pages={1350–1356}, collection={GECCO ’18} }'
chicago: 'Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary
Algorithms with the R Package Ecr.” In Proceedings of the Genetic and Evolutionary
Computation Conference Companion, 1350–1356. GECCO ’18. New York, NY, USA:
Association for Computing Machinery, 2018. https://doi.org/10.1145/3205651.3208312.'
ieee: 'J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr,” in Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 2018, pp. 1350–1356, doi: 10.1145/3205651.3208312.'
mla: Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package Ecr.” Proceedings of the Genetic and Evolutionary Computation
Conference Companion, Association for Computing Machinery, 2018, pp. 1350–1356,
doi:10.1145/3205651.3208312.
short: 'J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference
Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.'
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:46:04Z
department:
- _id: '819'
doi: 10.1145/3205651.3208312
extern: '1'
keyword:
- evolutionary optimization
- performance assessment
- software-tools
language:
- iso: eng
page: 1350–1356
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’18
status: public
title: Performance Assessment of Multi-Objective Evolutionary Algorithms with the
R Package ecr
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '48885'
abstract:
- lang: eng
text: Performance comparisons of optimization algorithms are heavily influenced
by the underlying indicator(s). In this paper we investigate commonly used performance
indicators for single-objective stochastic solvers, such as the Penalized Average
Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark
performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a
methodology for analyzing the effects of (usually heuristically set) indicator
parametrizations - such as the penalty factor and the method used for aggregating
across multiple runs - w.r.t. the robustness of the considered optimization algorithms.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers. In: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. GECCO’18.
Association for Computing Machinery; 2018:1737–1744. doi:10.1145/3205651.3208233'
apa: 'Kerschke, P., Bossek, J., & Trautmann, H. (2018). Parameterization of
State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP
Solvers. Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1737–1744. https://doi.org/10.1145/3205651.3208233'
bibtex: '@inproceedings{Kerschke_Bossek_Trautmann_2018, place={New York, NY, USA},
series={GECCO’18}, title={Parameterization of State-of-the-Art Performance Indicators:
A Robustness Study Based on Inexact TSP Solvers}, DOI={10.1145/3205651.3208233},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Kerschke,
Pascal and Bossek, Jakob and Trautmann, Heike}, year={2018}, pages={1737–1744},
collection={GECCO’18} }'
chicago: 'Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization
of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact
TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing
Machinery, 2018. https://doi.org/10.1145/3205651.3208233.'
ieee: 'P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art
Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,” in Proceedings
of the Genetic and Evolutionary Computation Conference Companion, 2018, pp.
1737–1744, doi: 10.1145/3205651.3208233.'
mla: 'Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers.” Proceedings of
the Genetic and Evolutionary Computation Conference Companion, Association
for Computing Machinery, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233.'
short: 'P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and
Evolutionary Computation Conference Companion, Association for Computing Machinery,
New York, NY, USA, 2018, pp. 1737–1744.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:48:38Z
department:
- _id: '819'
doi: 10.1145/3205651.3208233
extern: '1'
keyword:
- algorithm selection
- optimization
- performance measures
- transportation
- travelling salesperson problem
language:
- iso: eng
page: 1737–1744
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7
publisher: Association for Computing Machinery
series_title: GECCO’18
status: public
title: 'Parameterization of State-of-the-Art Performance Indicators: A Robustness
Study Based on Inexact TSP Solvers'
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '9994'
abstract:
- lang: eng
text: Reliability-adaptive systems allow an adaptation of system behavior based
on current system reliability. They can extend their lifetime at the cost of lowered
performance or vice versa. This can be used to adapt failure behavior according
to a maintenance plan, thus increasing availability while using up system capability
fully. To facilitate setup, a control algorithm independent of a degradation model
is desired. A closed loop control technique for reliability based on a health
index, a measure for system degradation, is introduced. It uses self-optimization
as means to implement behavior adaptation. This is based on selecting the priorities
of objectives that the system pursues. Possible working points are computed beforehand
using model-based multiobjective optimization techniques. The controller selects
the priorities of objectives and this way balances reliability and performance.
As exemplary application, an automatically actuated single plate dry clutch is
introduced. The entire reliability control is setup and lifetime experiments are
conducted. Results show that the variance of time to failure is reduced greatly,
making the failure behavior more predictable. At the same time, the desired usable
lifetime can be extended at the cost of system performance to allow for changed
maintenance intervals. Together, these possibilities allow for greater system
usage and better planning of maintenance.
author:
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
citation:
ama: Meyer T. Optimization-Based Reliability Control of Mechatronic Systems.
Shaker; 2018.
apa: Meyer, T. (2018). Optimization-based reliability control of mechatronic
systems. Shaker.
bibtex: '@book{Meyer_2018, title={Optimization-based reliability control of mechatronic
systems}, publisher={Shaker}, author={Meyer, Tobias}, year={2018} }'
chicago: Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic
Systems. Shaker, 2018.
ieee: T. Meyer, Optimization-based reliability control of mechatronic systems.
Shaker, 2018.
mla: Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic Systems.
Shaker, 2018.
short: T. Meyer, Optimization-Based Reliability Control of Mechatronic Systems,
Shaker, 2018.
date_created: 2019-05-27T10:21:17Z
date_updated: 2023-09-15T12:26:09Z
department:
- _id: '151'
keyword:
- dependability
- reliability
- behavior adaptation
- self-optimization
- multiobjective optimization
- optimal control
- automotive drivetrain
- clutch system
- reliability-adaptive system
language:
- iso: eng
publisher: Shaker
status: public
title: Optimization-based reliability control of mechatronic systems
type: dissertation
user_id: '210'
year: '2018'
...
---
_id: '9862'
abstract:
- lang: eng
text: 'In order to improve the credibility of modern simulation tools, uncertainties
of different kinds have to be considered. This work is focused on epistemic uncertainties
in the framework of continuum mechanics, which are taken into account by fuzzy
analysis. The underlying min-max optimization problem of the extension principle
is approximated by α-discretization, resulting in a separation of minimum and
maximum problems. To become more universal, so-called quantities of interest are
employed, which allow a general formulation for the target problem of interest.
In this way, the relation to parameter identification problems based on least-squares
functions is highlighted. The solutions of the related optimization problems with
simple constraints are obtained with a gradient-based scheme, which is derived
from a sensitvity analysis for the target problem by means of a variational formulation.
Two numerical examples for the fuzzy analysis of material parameters are concerned
with a necking problem at large strain elastoplasticity and a perforated strip
at large strain hyperelasticity to demonstrate the versatility of the proposed
variational formulation. '
author:
- first_name: Rolf
full_name: Mahnken, Rolf
last_name: Mahnken
citation:
ama: Mahnken R. “A variational formulation for fuzzy analysis in continuum mechanics.”
Mathematics and Mechanics of complex systems. 2017;5(3-4).
apa: Mahnken, R. (2017). “A variational formulation for fuzzy analysis in continuum
mechanics.” Mathematics and Mechanics of Complex Systems, 5(3–4).
bibtex: '@article{Mahnken_2017, title={“A variational formulation for fuzzy analysis
in continuum mechanics”}, volume={5}, number={3–4}, journal={Mathematics and Mechanics
of complex systems}, author={Mahnken, Rolf}, year={2017} }'
chicago: Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum
Mechanics.’” Mathematics and Mechanics of Complex Systems 5, no. 3–4 (2017).
ieee: R. Mahnken, “‘A variational formulation for fuzzy analysis in continuum mechanics,’”
Mathematics and Mechanics of complex systems, vol. 5, no. 3–4, 2017.
mla: Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum
Mechanics.’” Mathematics and Mechanics of Complex Systems, vol. 5, no.
3–4, 2017.
short: R. Mahnken, Mathematics and Mechanics of Complex Systems 5 (2017).
date_created: 2019-05-20T11:36:47Z
date_updated: 2019-05-27T12:54:35Z
department:
- _id: '154'
intvolume: ' 5'
issue: 3-4
keyword:
- fuzzy analysis
- α-level optimization
- quantities of interest
- optimization with simple constraints
- large strain elasticity
- large strain elastoplasticity
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://msp.org/memocs/2017/5-3/memocs-v5-n3-p03-s.pdf
oa: '1'
publication: Mathematics and Mechanics of complex systems
publication_identifier:
issn:
- ' 2325-3444'
publication_status: published
status: public
title: '"A variational formulation for fuzzy analysis in continuum mechanics"'
type: journal_article
user_id: '78813'
volume: 5
year: '2017'
...
---
_id: '9976'
abstract:
- lang: eng
text: State-of-the-art mechatronic systems offer inherent intelligence that enables
them to autonomously adapt their behavior to current environmental conditions
and to their own system state. This autonomous behavior adaptation is made possible
by software in combination with complex sensor and actuator systems and by sophisticated
information processing, all of which make these systems increasingly complex.
This increasing complexity makes the design process a challenging task and brings
new complex possibilities for operation and maintenance. However, with the risk
of increased system complexity also comes the chance to adapt system behavior
based on current reliability, which in turn increases reliability. The development
of such an adaption strategy requires appropriate methods to evaluate reliability
based on currently selected system behavior. A common approach to implement such
adaptivity is to base system behavior on different working points that are obtained
using multiobjective optimization. During operation, selection among these allows
a changed operating strategy. To allow for multiobjective optimization, an accurate
system model including system reliability is required. This model is repeatedly
evaluated by the optimization algorithm. At present, modeling of system reliability
and synchronization of the models of behavior and reliability is a laborious manual
task and thus very error-prone. Since system behavior is crucial for system reliability,
an integrated model is introduced that integrates system behavior and system reliability.
The proposed approach is used to formulate reliability-related objective functions
for a clutch test rig that are used to compute feasible working points using multiobjective
optimization.
author:
- first_name: Thorben
full_name: Kaul, Thorben
id: '14802'
last_name: Kaul
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Kaul T, Meyer T, Sextro W. Formulation of reliability-related objective functions
for design of intelligent mechatronic systems. SAGE Journals. 2017;Vol.
231(4):390-399. doi:10.1177/1748006X17709376
apa: Kaul, T., Meyer, T., & Sextro, W. (2017). Formulation of reliability-related
objective functions for design of intelligent mechatronic systems. SAGE Journals,
Vol. 231(4), 390–399. https://doi.org/10.1177/1748006X17709376
bibtex: '@article{Kaul_Meyer_Sextro_2017, title={Formulation of reliability-related
objective functions for design of intelligent mechatronic systems}, volume={Vol.
231(4)}, DOI={10.1177/1748006X17709376},
journal={SAGE Journals}, author={Kaul, Thorben and Meyer, Tobias and Sextro, Walter},
year={2017}, pages={390–399} }'
chicago: 'Kaul, Thorben, Tobias Meyer, and Walter Sextro. “Formulation of Reliability-Related
Objective Functions for Design of Intelligent Mechatronic Systems.” SAGE Journals
Vol. 231(4) (2017): 390–99. https://doi.org/10.1177/1748006X17709376.'
ieee: T. Kaul, T. Meyer, and W. Sextro, “Formulation of reliability-related objective
functions for design of intelligent mechatronic systems,” SAGE Journals,
vol. Vol. 231(4), pp. 390–399, 2017.
mla: Kaul, Thorben, et al. “Formulation of Reliability-Related Objective Functions
for Design of Intelligent Mechatronic Systems.” SAGE Journals, vol. Vol.
231(4), 2017, pp. 390–99, doi:10.1177/1748006X17709376.
short: T. Kaul, T. Meyer, W. Sextro, SAGE Journals Vol. 231(4) (2017) 390–399.
date_created: 2019-05-27T09:37:46Z
date_updated: 2019-09-16T10:20:49Z
department:
- _id: '151'
doi: 10.1177/1748006X17709376
keyword:
- Integrated model
- reliability
- system behavior
- Bayesian network
- multiobjective optimization
language:
- iso: eng
page: 390 - 399
publication: SAGE Journals
quality_controlled: '1'
status: public
title: Formulation of reliability-related objective functions for design of intelligent
mechatronic systems
type: journal_article
user_id: '55222'
volume: Vol. 231(4)
year: '2017'
...
---
_id: '10676'
author:
- first_name: Nam
full_name: Ho, Nam
last_name: Ho
- first_name: Paul
full_name: Kaufmann, Paul
last_name: Kaufmann
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Ho N, Kaufmann P, Platzner M. Evolvable caches: Optimization of reconfigurable
cache mappings for a LEON3/Linux-based multi-core processor. In: 2017 International
Conference on Field Programmable Technology (ICFPT). ; 2017:215-218. doi:10.1109/FPT.2017.8280144'
apa: 'Ho, N., Kaufmann, P., & Platzner, M. (2017). Evolvable caches: Optimization
of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor.
In 2017 International Conference on Field Programmable Technology (ICFPT)
(pp. 215–218). https://doi.org/10.1109/FPT.2017.8280144'
bibtex: '@inproceedings{Ho_Kaufmann_Platzner_2017, title={Evolvable caches: Optimization
of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor},
DOI={10.1109/FPT.2017.8280144},
booktitle={2017 International Conference on Field Programmable Technology (ICFPT)},
author={Ho, Nam and Kaufmann, Paul and Platzner, Marco}, year={2017}, pages={215–218}
}'
chicago: 'Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolvable Caches: Optimization
of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.”
In 2017 International Conference on Field Programmable Technology (ICFPT),
215–18, 2017. https://doi.org/10.1109/FPT.2017.8280144.'
ieee: 'N. Ho, P. Kaufmann, and M. Platzner, “Evolvable caches: Optimization of reconfigurable
cache mappings for a LEON3/Linux-based multi-core processor,” in 2017 International
Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.'
mla: 'Ho, Nam, et al. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings
for a LEON3/Linux-Based Multi-Core Processor.” 2017 International Conference
on Field Programmable Technology (ICFPT), 2017, pp. 215–18, doi:10.1109/FPT.2017.8280144.'
short: 'N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field
Programmable Technology (ICFPT), 2017, pp. 215–218.'
date_created: 2019-07-10T11:22:59Z
date_updated: 2022-01-06T06:50:49Z
department:
- _id: '78'
doi: 10.1109/FPT.2017.8280144
keyword:
- Linux
- cache storage
- microprocessor chips
- multiprocessing systems
- LEON3-Linux based multicore processor
- MiBench suite
- block sizes
- cache adaptation
- evolvable caches
- memory-to-cache-index mapping function
- processor caches
- reconfigurable cache mapping optimization
- reconfigurable hardware technology
- replacement strategies
- standard Linux OS
- time a complete hardware implementation
- Hardware
- Indexes
- Linux
- Measurement
- Multicore processing
- Optimization
- Training
language:
- iso: eng
page: 215-218
publication: 2017 International Conference on Field Programmable Technology (ICFPT)
status: public
title: 'Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based
multi-core processor'
type: conference
user_id: '398'
year: '2017'
...
---
_id: '48863'
abstract:
- lang: eng
text: The novel R package ecr (version 2), short for Evolutionary Computation in
R, provides a comprehensive collection of building blocks for constructing powerful
evolutionary algorithms for single- and multi-objective continuous and combinatorial
optimization problems. It allows to solve standard optimization tasks with few
lines of code using a black-box approach. Moreover, rapid prototyping of non-standard
ideas is possible via an explicit, white-box approach. This paper describes the
design principles of the package and gives some introductory examples on how to
use the package in practise.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R.
In: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:10.1145/3067695.3082470'
apa: 'Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation
in R. Proceedings of the Genetic and Evolutionary Computation Conference Companion,
1187–1193. https://doi.org/10.1145/3067695.3082470'
bibtex: '@inproceedings{Bossek_2017, place={New York, NY, USA}, series={GECCO ’17},
title={Ecr 2.0: A Modular Framework for Evolutionary Computation in R}, DOI={10.1145/3067695.3082470}, booktitle={Proceedings
of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association
for Computing Machinery}, author={Bossek, Jakob}, year={2017}, pages={1187–1193},
collection={GECCO ’17} }'
chicago: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
in R.” In Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing
Machinery, 2017. https://doi.org/10.1145/3067695.3082470.'
ieee: 'J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in
R,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2017, pp. 1187–1193, doi: 10.1145/3067695.3082470.'
mla: 'Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation
in R.” Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Association for Computing Machinery, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470.'
short: 'J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference
Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.'
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:45:05Z
department:
- _id: '819'
doi: 10.1145/3067695.3082470
extern: '1'
keyword:
- evolutionary optimization
- software-tools
language:
- iso: eng
page: 1187–1193
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-4939-0
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’17
status: public
title: 'Ecr 2.0: A Modular Framework for Evolutionary Computation in R'
type: conference
user_id: '102979'
year: '2017'
...
---
_id: '48857'
abstract:
- lang: eng
text: 'While finding minimum-cost spanning trees (MST) in undirected graphs is solvable
in polynomial time, the multi-criteria minimum spanning tree problem (mcMST) is
NP-hard. Interestingly, the mcMST problem has not been in focus of evolutionary
computation research for a long period of time, although, its relevance for real
world problems is easy to see. The available and most notable approaches by Zhou
and Gen as well as by Knowles and Corne concentrate on solution encoding and on
fairly dated selection mechanisms. In this work, we revisit the mcMST and focus
on the mutation operators as exploratory components of evolutionary algorithms
neglected so far. We investigate optimal solution characteristics to discuss current
mutation strategies, identify shortcomings of these operators, and propose a sub-tree
based operator which offers what we term Pareto-beneficial behavior: ensuring
convergence and diversity at the same time. The operator is empirically evaluated
inside modern standard evolutionary meta-heuristics for multi-criteria optimization
and compared to hitherto applied mutation operators in the context of mcMST.'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Bossek J, Grimme C. A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria
Minimum Spanning Tree Problem. In: 2017 IEEE Symposium Series on Computational
Intelligence (SSCI). ; 2017:1–8. doi:10.1109/SSCI.2017.8285183'
apa: Bossek, J., & Grimme, C. (2017). A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem. 2017 IEEE Symposium Series
on Computational Intelligence (SSCI), 1–8. https://doi.org/10.1109/SSCI.2017.8285183
bibtex: '@inproceedings{Bossek_Grimme_2017, title={A Pareto-Beneficial Sub-Tree
Mutation for the Multi-Criteria Minimum Spanning Tree Problem}, DOI={10.1109/SSCI.2017.8285183},
booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Bossek,
Jakob and Grimme, Christian}, year={2017}, pages={1–8} }'
chicago: Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem.” In 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 1–8, 2017. https://doi.org/10.1109/SSCI.2017.8285183.
ieee: 'J. Bossek and C. Grimme, “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria
Minimum Spanning Tree Problem,” in 2017 IEEE Symposium Series on Computational
Intelligence (SSCI), 2017, pp. 1–8, doi: 10.1109/SSCI.2017.8285183.'
mla: Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation
for the Multi-Criteria Minimum Spanning Tree Problem.” 2017 IEEE Symposium
Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285183.
short: 'J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence
(SSCI), 2017, pp. 1–8.'
date_created: 2023-11-14T15:58:54Z
date_updated: 2023-12-13T10:44:28Z
department:
- _id: '819'
doi: 10.1109/SSCI.2017.8285183
extern: '1'
keyword:
- Convergence
- Encoding
- Euclidean distance
- Evolutionary computation
- Heating systems
- Optimization
- Standards
language:
- iso: eng
page: 1–8
publication: 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
status: public
title: A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning
Tree Problem
type: conference
user_id: '102979'
year: '2017'
...
---
_id: '9966'
abstract:
- lang: eng
text: Usage of copper wire bonds allows to push power boundaries imposed by aluminum
wire bonds. Copper allows higher electrical, thermal and mechanical loads than
aluminum, which currently is the most commonly used material in heavy wire bonding.
This is the main driving factor for increased usage of copper in high power applications
such as wind turbines, locomotives or electric vehicles. At the same time, usage
of copper also increases tool wear and reduces the range of parameter values for
a stable process, making the process more challenging. To overcome these drawbacks,
parameter adaptation at runtime using self-optimization is desired. A self-optimizing
system is based on system objectives that evaluate and quantify system performance.
System parameters can be changed at runtime such that pre-selected objective values
are reached. For adaptation of bond process parameters, model-based self-optimization
is employed. Since it is based on a model of the system, the bond process was
modeled. In addition to static model parameters such as wire and substrate material
properties and vibration characteristics of transducer and tool, variable model
inputs are process parameters. Main simulation result is bonded area in the wiresubstrate
contact. This model is then used to find valid and optimal working points before
operation. The working point is composed of normal force and ultrasonic voltage
trajectories, which are usually determined experimentally. Instead, multiobjective
optimalization is used to compute trajectories that simultaneously optimize bond
quality, process duration, tool wear and probability of tool-substrate contacts.
The values of these objectives are computed using the process model. At runtime,
selection among pre-determined optimal working points is sufficient to prioritize
individual objectives. This way, the computationally expensive process of numerically
solving a multiobjective optimal control problem and the demanding high speed
bonding process are separated. To evaluate to what extent the pre-defined goals
of self-optimization are met, an offthe- shelf heavy wire bonding machine was
modified to allow for parameter adaptation and for transmitting of measurement
data at runtime. This data is received by an external computer system and evaluated
to select a new working point. Then, new process parameters are sent to the modified
bonding machine for use for subsequent bonds. With these components, a full self-optimizing
system has been implemented.
author:
- first_name: Tobias
full_name: Meyer , Tobias
last_name: 'Meyer '
- first_name: Andreas
full_name: Unger, Andreas
last_name: Unger
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Michael
full_name: Brökelmann, Michael
last_name: Brökelmann
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Karsten
full_name: Guth, Karsten
last_name: Guth
citation:
ama: 'Meyer T, Unger A, Althoff S, et al. Reliable Manufacturing of Heavy Copper
Wire Bonds Using Online Parameter Adaptation. In: IEEE 66th Electronic Components
and Technology Conference. ; 2016:622-628. doi:10.1109/ECTC.2016.215'
apa: Meyer , T., Unger, A., Althoff, S., Sextro, W., Brökelmann, M., Hunstig, M.,
& Guth, K. (2016). Reliable Manufacturing of Heavy Copper Wire Bonds Using
Online Parameter Adaptation. In IEEE 66th Electronic Components and Technology
Conference (pp. 622–628). https://doi.org/10.1109/ECTC.2016.215
bibtex: '@inproceedings{Meyer _Unger_Althoff_Sextro_Brökelmann_Hunstig_Guth_2016,
title={Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter
Adaptation}, DOI={10.1109/ECTC.2016.215},
booktitle={IEEE 66th Electronic Components and Technology Conference}, author={Meyer
, Tobias and Unger, Andreas and Althoff, Simon and Sextro, Walter and Brökelmann,
Michael and Hunstig, Matthias and Guth, Karsten}, year={2016}, pages={622–628}
}'
chicago: Meyer , Tobias, Andreas Unger, Simon Althoff, Walter Sextro, Michael Brökelmann,
Matthias Hunstig, and Karsten Guth. “Reliable Manufacturing of Heavy Copper Wire
Bonds Using Online Parameter Adaptation.” In IEEE 66th Electronic Components
and Technology Conference, 622–28, 2016. https://doi.org/10.1109/ECTC.2016.215.
ieee: T. Meyer et al., “Reliable Manufacturing of Heavy Copper Wire Bonds
Using Online Parameter Adaptation,” in IEEE 66th Electronic Components and
Technology Conference, 2016, pp. 622–628.
mla: Meyer , Tobias, et al. “Reliable Manufacturing of Heavy Copper Wire Bonds Using
Online Parameter Adaptation.” IEEE 66th Electronic Components and Technology
Conference, 2016, pp. 622–28, doi:10.1109/ECTC.2016.215.
short: 'T. Meyer , A. Unger, S. Althoff, W. Sextro, M. Brökelmann, M. Hunstig, K.
Guth, in: IEEE 66th Electronic Components and Technology Conference, 2016, pp.
622–628.'
date_created: 2019-05-27T09:17:26Z
date_updated: 2020-05-07T05:33:53Z
department:
- _id: '151'
doi: 10.1109/ECTC.2016.215
keyword:
- Self-optimization
- adaptive system
- bond process
- copper wire
language:
- iso: eng
page: 622-628
project:
- _id: '92'
grant_number: 02 PQ2210
name: Intelligente Herstellung zuverlässiger Kupferbondverbindungen
publication: IEEE 66th Electronic Components and Technology Conference
quality_controlled: '1'
status: public
title: Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter Adaptation
type: conference
user_id: '210'
year: '2016'
...
---
_id: '48874'
abstract:
- lang: eng
text: State of the Art inexact solvers of the NP-hard Traveling Salesperson Problem
TSP are known to mostly yield high-quality solutions in reasonable computation
times. With the purpose of understanding different levels of instance difficulties,
instances for the current State of the Art heuristic TSP solvers LKH+restart and
EAX+restart are presented which are evolved using a sophisticated evolutionary
algorithm. More specifically, the performance differences of the respective solvers
are maximized resulting in instances which are easier to solve for one solver
and much more difficult for the other. Focusing on both optimization directions,
instance features are identified which characterize both types of instances and
increase the understanding of solver performance differences.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances
for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.
In: Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037.
AI*IA 2016. Springer-Verlag; 2016:3–12. doi:10.1007/978-3-319-49130-1_1'
apa: Bossek, J., & Trautmann, H. (2016). Understanding Characteristics of Evolved
Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.
Proceedings of the XV International Conference of the Italian Association for
Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
3–12. https://doi.org/10.1007/978-3-319-49130-1_1
bibtex: '@inproceedings{Bossek_Trautmann_2016, place={Berlin, Heidelberg}, series={AI*IA
2016}, title={Understanding Characteristics of Evolved Instances for State-of-the-Art
Inexact TSP Solvers with Maximum Performance Difference}, DOI={10.1007/978-3-319-49130-1_1},
booktitle={Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037},
publisher={Springer-Verlag}, author={Bossek, Jakob and Trautmann, Heike}, year={2016},
pages={3–12}, collection={AI*IA 2016} }'
chicago: 'Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of
Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance
Difference.” In Proceedings of the XV International Conference of the Italian
Association for Artificial Intelligence on Advances in Artificial Intelligence
- Volume 10037, 3–12. AI*IA 2016. Berlin, Heidelberg: Springer-Verlag, 2016.
https://doi.org/10.1007/978-3-319-49130-1_1.'
ieee: 'J. Bossek and H. Trautmann, “Understanding Characteristics of Evolved Instances
for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference,”
in Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
2016, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.'
mla: Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of Evolved
Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.”
Proceedings of the XV International Conference of the Italian Association for
Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
Springer-Verlag, 2016, pp. 3–12, doi:10.1007/978-3-319-49130-1_1.
short: 'J. Bossek, H. Trautmann, in: Proceedings of the XV International Conference
of the Italian Association for Artificial Intelligence on Advances in Artificial
Intelligence - Volume 10037, Springer-Verlag, Berlin, Heidelberg, 2016, pp. 3–12.'
date_created: 2023-11-14T15:58:57Z
date_updated: 2023-12-13T10:47:11Z
doi: 10.1007/978-3-319-49130-1_1
extern: '1'
keyword:
- Combinatorial optimization
- Instance hardness
- Metaheuristics
- Transportation
- TSP
language:
- iso: eng
page: 3–12
place: Berlin, Heidelberg
publication: Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037
publication_identifier:
isbn:
- 978-3-319-49129-5
publication_status: published
publisher: Springer-Verlag
series_title: AI*IA 2016
status: public
title: Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact
TSP Solvers with Maximum Performance Difference
type: conference
user_id: '102979'
year: '2016'
...
---
_id: '10673'
author:
- first_name: Nam
full_name: Ho, Nam
last_name: Ho
- first_name: Abdullah Fathi
full_name: Ahmed, Abdullah Fathi
last_name: Ahmed
- first_name: Paul
full_name: Kaufmann, Paul
last_name: Kaufmann
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Ho N, Ahmed AF, Kaufmann P, Platzner M. Microarchitectural optimization by
means of reconfigurable and evolvable cache mappings. In: Proc. NASA/ESA Conf.
Adaptive Hardware and Systems (AHS). ; 2015:1-7. doi:10.1109/AHS.2015.7231178'
apa: Ho, N., Ahmed, A. F., Kaufmann, P., & Platzner, M. (2015). Microarchitectural
optimization by means of reconfigurable and evolvable cache mappings. In Proc.
NASA/ESA Conf. Adaptive Hardware and Systems (AHS) (pp. 1–7). https://doi.org/10.1109/AHS.2015.7231178
bibtex: '@inproceedings{Ho_Ahmed_Kaufmann_Platzner_2015, title={Microarchitectural
optimization by means of reconfigurable and evolvable cache mappings}, DOI={10.1109/AHS.2015.7231178},
booktitle={Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS)}, author={Ho,
Nam and Ahmed, Abdullah Fathi and Kaufmann, Paul and Platzner, Marco}, year={2015},
pages={1–7} }'
chicago: Ho, Nam, Abdullah Fathi Ahmed, Paul Kaufmann, and Marco Platzner. “Microarchitectural
Optimization by Means of Reconfigurable and Evolvable Cache Mappings.” In Proc.
NASA/ESA Conf. Adaptive Hardware and Systems (AHS), 1–7, 2015. https://doi.org/10.1109/AHS.2015.7231178.
ieee: N. Ho, A. F. Ahmed, P. Kaufmann, and M. Platzner, “Microarchitectural optimization
by means of reconfigurable and evolvable cache mappings,” in Proc. NASA/ESA
Conf. Adaptive Hardware and Systems (AHS), 2015, pp. 1–7.
mla: Ho, Nam, et al. “Microarchitectural Optimization by Means of Reconfigurable
and Evolvable Cache Mappings.” Proc. NASA/ESA Conf. Adaptive Hardware and Systems
(AHS), 2015, pp. 1–7, doi:10.1109/AHS.2015.7231178.
short: 'N. Ho, A.F. Ahmed, P. Kaufmann, M. Platzner, in: Proc. NASA/ESA Conf. Adaptive
Hardware and Systems (AHS), 2015, pp. 1–7.'
date_created: 2019-07-10T11:18:00Z
date_updated: 2022-01-06T06:50:49Z
department:
- _id: '78'
doi: 10.1109/AHS.2015.7231178
keyword:
- cache storage
- field programmable gate arrays
- multiprocessing systems
- parallel architectures
- reconfigurable architectures
- FPGA
- dynamic reconfiguration
- evolvable cache mapping
- many-core architecture
- memory-to-cache address mapping function
- microarchitectural optimization
- multicore architecture
- nature-inspired optimization
- parallelization degrees
- processor
- reconfigurable cache mapping
- reconfigurable computing
- Field programmable gate arrays
- Software
- Tuning
language:
- iso: eng
page: 1-7
project:
- _id: '31'
grant_number: '257906'
name: Engineering Proprioception in Computing Systems
publication: Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS)
status: public
title: Microarchitectural optimization by means of reconfigurable and evolvable cache
mappings
type: conference
user_id: '3118'
year: '2015'
...
---
_id: '29973'
abstract:
- lang: eng
text: 'Haushaltsgeräte aus der Klasse der "Weißen Ware" tragen mit etwa einem Drittel
($34,2%$ \citeBDEW2013) zum privaten Energieverbrauch bei. Diese Veröffentlichung
präsentiert eine Struktur und die dafür notwendige optimale Betriebsstrategie
für Weiße Ware in einer Umgebung mit Strompreisen, die wegen der Volatilität der
Regenerativen Energien stark fluktuieren. Das vorgeschlagene Konzept nutzt dafür
ein dezentrales Energiemanagementsystem, das über drei Hierarchieebenen verteilt
ist: die Geräteebene, die Haushaltsebene und die Ortsnetzebene. Auf der Geräteebene
nutzt dieses Konzept zusätzlich Betriebsflexibilitäten der Haushaltsgeräte aus.'
author:
- first_name: Karl Stephan Christian
full_name: Stille, Karl Stephan Christian
id: '30152'
last_name: Stille
orcid: 0000-0002-4212-6555
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
- first_name: Ralf
full_name: Bettentrup, Ralf
last_name: Bettentrup
- first_name: Ingo
full_name: Kaiser, Ingo
last_name: Kaiser
citation:
ama: 'Stille KSC, Böcker J, Bettentrup R, Kaiser I. Hierarchisches Optimierungskonzept
für die Laststeuerung von Haushaltsgeräten. In: ETG-Fachtagung “Von Smart Grids
Zu Smart Markets.” VDE; 2015.'
apa: Stille, K. S. C., Böcker, J., Bettentrup, R., & Kaiser, I. (2015). Hierarchisches
Optimierungskonzept für die Laststeuerung von Haushaltsgeräten. ETG-Fachtagung
“Von Smart Grids Zu Smart Markets.”
bibtex: '@inproceedings{Stille_Böcker_Bettentrup_Kaiser_2015, place={Kassel}, title={Hierarchisches
Optimierungskonzept für die Laststeuerung von Haushaltsgeräten}, booktitle={ETG-Fachtagung
“Von Smart Grids zu Smart Markets”}, publisher={VDE}, author={Stille, Karl Stephan
Christian and Böcker, Joachim and Bettentrup, Ralf and Kaiser, Ingo}, year={2015}
}'
chicago: 'Stille, Karl Stephan Christian, Joachim Böcker, Ralf Bettentrup, and Ingo
Kaiser. “Hierarchisches Optimierungskonzept Für Die Laststeuerung von Haushaltsgeräten.”
In ETG-Fachtagung “Von Smart Grids Zu Smart Markets.” Kassel: VDE, 2015.'
ieee: K. S. C. Stille, J. Böcker, R. Bettentrup, and I. Kaiser, “Hierarchisches
Optimierungskonzept für die Laststeuerung von Haushaltsgeräten,” 2015.
mla: Stille, Karl Stephan Christian, et al. “Hierarchisches Optimierungskonzept
Für Die Laststeuerung von Haushaltsgeräten.” ETG-Fachtagung “Von Smart Grids
Zu Smart Markets,” VDE, 2015.
short: 'K.S.C. Stille, J. Böcker, R. Bettentrup, I. Kaiser, in: ETG-Fachtagung “Von
Smart Grids Zu Smart Markets,” VDE, Kassel, 2015.'
date_created: 2022-02-23T09:24:36Z
date_updated: 2022-02-23T16:10:58Z
department:
- _id: '52'
keyword:
- Energy management
- hybrid energy storage system
- self-optimization
- multi-objective optimization
- adaptive systems
- pareto set
- SFB614-D1
- SFB614-D2
- LEA-Publikation
- Eigene
language:
- iso: eng
main_file_link:
- url: https://www.vde-verlag.de/proceedings-en/453897045.html
place: Kassel
publication: ETG-Fachtagung "Von Smart Grids zu Smart Markets"
publisher: VDE
status: public
title: Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten
type: conference
user_id: '66'
year: '2015'
...
---
_id: '48838'
abstract:
- lang: eng
text: 'The majority of algorithms can be controlled or adjusted by parameters. Their
values can substantially affect the algorithms’ performance. Since the manual
exploration of the parameter space is tedious – even for few parameters – several
automatic procedures for parameter tuning have been proposed. Recent approaches
also take into account some characteristic properties of the problem instances,
frequently termed instance features. Our contribution is the proposal of a novel
concept for feature-based algorithm parameter tuning, which applies an approximating
surrogate model for learning the continuous feature-parameter mapping. To accomplish
this, we learn a joint model of the algorithm performance based on both the algorithm
parameters and the instance features. The required data is gathered using a recently
proposed acquisition function for model refinement in surrogate-based optimization:
the profile expected improvement. This function provides an avenue for maximizing
the information required for the feature-parameter mapping, i.e., the mapping
from instance features to the corresponding optimal algorithm parameters. The
approach is validated by applying the tuner to exemplary evolutionary algorithms
and problems, for which theoretically grounded or heuristically determined feature-parameter
mappings are available.'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Tobias
full_name: Wagner, Tobias
last_name: Wagner
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
citation:
ama: 'Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings
for Parameter Tuning via the Profile Expected Improvement. In: Proceedings
of the Genetic and Evolutionary Computation Conference. GECCO ’15. Association
for Computing Machinery; 2015:1319–1326. doi:10.1145/2739480.2754673'
apa: Bossek, J., Bischl, B., Wagner, T., & Rudolph, G. (2015). Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement. Proceedings
of the Genetic and Evolutionary Computation Conference, 1319–1326. https://doi.org/10.1145/2739480.2754673
bibtex: '@inproceedings{Bossek_Bischl_Wagner_Rudolph_2015, place={New York, NY,
USA}, series={GECCO ’15}, title={Learning Feature-Parameter Mappings for Parameter
Tuning via the Profile Expected Improvement}, DOI={10.1145/2739480.2754673},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Bischl,
Bernd and Wagner, Tobias and Rudolph, Günter}, year={2015}, pages={1319–1326},
collection={GECCO ’15} }'
chicago: 'Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning
Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.”
In Proceedings of the Genetic and Evolutionary Computation Conference,
1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery,
2015. https://doi.org/10.1145/2739480.2754673.'
ieee: 'J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement,” in Proceedings
of the Genetic and Evolutionary Computation Conference, 2015, pp. 1319–1326,
doi: 10.1145/2739480.2754673.'
mla: Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning
via the Profile Expected Improvement.” Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, 2015, pp. 1319–1326,
doi:10.1145/2739480.2754673.
short: 'J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic
and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2015, pp. 1319–1326.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:40:30Z
department:
- _id: '819'
doi: 10.1145/2739480.2754673
extern: '1'
keyword:
- evolutionary algorithms
- model-based optimization
- parameter tuning
language:
- iso: eng
page: 1319–1326
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-3472-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’15
status: public
title: Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected
Improvement
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '48887'
abstract:
- lang: eng
text: 'We evaluate the performance of a multi-objective evolutionary algorithm on
a class of dynamic routing problems with a single vehicle. In particular we focus
on relating algorithmic performance to the most prominent characteristics of problem
instances. The routing problem considers two types of customers: mandatory customers
must be visited whereas optional customers do not necessarily have to be visited.
Moreover, mandatory customers are known prior to the start of the tour whereas
optional customers request for service at later points in time with the vehicle
already being on its way. The multi-objective optimization problem then results
as maximizing the number of visited customers while simultaneously minimizing
total travel time. As an a-posteriori evaluation tool, the evolutionary algorithm
aims at approximating the related Pareto set for specifically designed benchmarking
instances differing in terms of number of customers, geographical layout, fraction
of mandatory customers, and request times of optional customers. Conceptional
and experimental comparisons to online heuristic procedures are provided.'
author:
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Martin
full_name: Wölck, Martin
last_name: Wölck
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. Evaluation
of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
In: Proceedings of the Genetic and Evolutionary Computation Conference .
GECCO’15. Association for Computing Machinery; 2015:425–432. doi:10.1145/2739480.2754705'
apa: Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., & Trautmann,
H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic
Routing of a Vehicle. Proceedings of the Genetic and Evolutionary Computation
Conference , 425–432. https://doi.org/10.1145/2739480.2754705
bibtex: '@inproceedings{Meisel_Grimme_Bossek_Wölck_Rudolph_Trautmann_2015, place={New
York, NY, USA}, series={GECCO’15}, title={Evaluation of a Multi-Objective EA on
Benchmark Instances for Dynamic Routing of a Vehicle}, DOI={10.1145/2739480.2754705},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
}, publisher={Association for Computing Machinery}, author={Meisel, Stephan and
Grimme, Christian and Bossek, Jakob and Wölck, Martin and Rudolph, Günter and
Trautmann, Heike}, year={2015}, pages={425–432}, collection={GECCO’15} }'
chicago: 'Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Günter
Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark
Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic
and Evolutionary Computation Conference , 425–432. GECCO’15. New York, NY,
USA: Association for Computing Machinery, 2015. https://doi.org/10.1145/2739480.2754705.'
ieee: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann,
“Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle,” in Proceedings of the Genetic and Evolutionary Computation Conference
, 2015, pp. 425–432, doi: 10.1145/2739480.2754705.'
mla: Meisel, Stephan, et al. “Evaluation of a Multi-Objective EA on Benchmark Instances
for Dynamic Routing of a Vehicle.” Proceedings of the Genetic and Evolutionary
Computation Conference , Association for Computing Machinery, 2015, pp. 425–432,
doi:10.1145/2739480.2754705.
short: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in:
Proceedings of the Genetic and Evolutionary Computation Conference , Association
for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:49:06Z
department:
- _id: '819'
doi: 10.1145/2739480.2754705
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- online algorithms
- transportation
language:
- iso: eng
page: 425–432
place: New York, NY, USA
publication: 'Proceedings of the Genetic and Evolutionary Computation Conference '
publication_identifier:
isbn:
- 978-1-4503-3472-3
publisher: Association for Computing Machinery
series_title: GECCO’15
status: public
title: Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '9884'
abstract:
- lang: eng
text: So-called reliability adaptive systems are able to adapt their system behavior
based on the current reliability of the system. This allows them to react to changed
operating conditions or faults within the system that change the degradation behavior.
To implement such reliability adaptation, self-optimization can be used. A self-optimizing
system pursues objectives, of which the priorities can be changed at runtime,
in turn changing the system behavior. When including system reliability as an
objective of the system, it becomes possible to change the system based on the
current reliability as well. This capability can be used to control the reliability
of the system throughout its operation period in order to achieve a pre-defined
or user-selectable system lifetime. This way, optimal planning of maintenance
intervals is possible while also using the system capabilities to their full extent.
Our proposed control system makes it possible to react to changed degradation
behavior by selecting objectives of the self-optimizing system and in turn changing
the operating parameters in a closed loop. A two-stage controller is designed
which is used to select the currently required priorities of the objectives in
order to fulfill the desired usable lifetime. Investigations using a model of
an automotive clutch system serve to demonstrate the feasibility of our controller.
It is shown that the desired lifetime can be achieved reliably.
author:
- first_name: Tobias
full_name: Meyer , Tobias
last_name: 'Meyer '
- first_name: Walter
full_name: Sextro, Walter
last_name: Sextro
citation:
ama: 'Meyer T, Sextro W. Closed-loop Control System for the Reliability of Intelligent
Mechatronic Systems. In: Proceedings of the Second European Conference of the
Prognostics and Health Management Society 2014. Vol 5. ; 2014.'
apa: Meyer , T., & Sextro, W. (2014). Closed-loop Control System for the Reliability
of Intelligent Mechatronic Systems. In Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014 (Vol. 5).
bibtex: '@inproceedings{Meyer _Sextro_2014, title={Closed-loop Control System for
the Reliability of Intelligent Mechatronic Systems}, volume={5}, booktitle={Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014}, author={Meyer , Tobias and Sextro, Walter}, year={2014} }'
chicago: Meyer , Tobias, and Walter Sextro. “Closed-Loop Control System for the
Reliability of Intelligent Mechatronic Systems.” In Proceedings of the Second
European Conference of the Prognostics and Health Management Society 2014,
Vol. 5, 2014.
ieee: T. Meyer and W. Sextro, “Closed-loop Control System for the Reliability of
Intelligent Mechatronic Systems,” in Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, 2014, vol. 5.
mla: Meyer , Tobias, and Walter Sextro. “Closed-Loop Control System for the Reliability
of Intelligent Mechatronic Systems.” Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, vol. 5, 2014.
short: 'T. Meyer , W. Sextro, in: Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, 2014.'
date_created: 2019-05-20T13:18:20Z
date_updated: 2019-05-20T13:19:08Z
department:
- _id: '151'
intvolume: ' 5'
keyword:
- self-optimization reliability adaptive
language:
- iso: eng
publication: Proceedings of the Second European Conference of the Prognostics and
Health Management Society 2014
status: public
title: Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems
type: conference
user_id: '55222'
volume: 5
year: '2014'
...
---
_id: '9885'
abstract:
- lang: eng
text: Intelligent mechatronic systems, such as self-optimizing systems, allow an
adaptation of the system behavior at runtime based on the current situation. To
do so, they generally select among several pre-defined working points. A common
method to determine working points for a mechatronic system is to use model-based
multiobjective optimization. It allows finding compromises among conflicting objectives,
called objective functions, by adapting parameters. To evaluate the system behavior
for different parameter sets, a model of the system behavior is included in the
objective functions and is evaluated during each function call. Intelligent mechatronic
systems also have the ability to adapt their behavior based on their current reliability,
thus increasing their availability, or on changed safety requirements; all of
which are summed up by the common term dependability. To allow this adaptation,
dependability can be considered in multiobjective optimization by including dependability-related
objective functions. However, whereas performance-related objective functions
are easily found, formulation of dependability-related objective functions is
highly system-specific and not intuitive, making it complex and error-prone. Since
each mechatronic system is different, individual failure modes have to be taken
into account, which need to be found using common methods such as Failure-Modes
and Effects Analysis or Fault Tree Analysis. Using component degradation models,
which again are specific to the system at hand, the main loading factors can be
determined. By including these in the model of the system behavior, the relation
between working point and dependability can be formulated as an objective function.
In our work, this approach is presented in more detail. It is exemplified using
an actively actuated single plate dry clutch system. Results show that this approach
is suitable for formulating dependability-related objective functions and that
these can be used to extend system lifetime by adapting system behavior.
author:
- first_name: Tobias
full_name: Meyer , Tobias
last_name: 'Meyer '
- first_name: Christoph
full_name: Sondermann-Wölke, Christoph
last_name: Sondermann-Wölke
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Meyer T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives
in Multiobjective Optimization Problem. Conference Proceedings of the 2nd International
Conference on System-Integrated Intelligence. 2014;15:46-53. doi:10.1016/j.protcy.2014.09.033
apa: Meyer , T., Sondermann-Wölke, C., & Sextro, W. (2014). Method to Identify
Dependability Objectives in Multiobjective Optimization Problem. Conference
Proceedings of the 2nd International Conference on System-Integrated Intelligence,
15, 46–53. https://doi.org/10.1016/j.protcy.2014.09.033
bibtex: '@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify
Dependability Objectives in Multiobjective Optimization Problem}, volume={15},
DOI={10.1016/j.protcy.2014.09.033},
journal={Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence}, author={Meyer , Tobias and Sondermann-Wölke, Christoph and Sextro,
Walter}, year={2014}, pages={46–53} }'
chicago: 'Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method
to Identify Dependability Objectives in Multiobjective Optimization Problem.”
Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence 15 (2014): 46–53. https://doi.org/10.1016/j.protcy.2014.09.033.'
ieee: T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability
Objectives in Multiobjective Optimization Problem,” Conference Proceedings
of the 2nd International Conference on System-Integrated Intelligence, vol.
15, pp. 46–53, 2014.
mla: Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective
Optimization Problem.” Conference Proceedings of the 2nd International Conference
on System-Integrated Intelligence, vol. 15, 2014, pp. 46–53, doi:10.1016/j.protcy.2014.09.033.
short: T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the
2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53.
date_created: 2019-05-20T13:19:37Z
date_updated: 2019-09-16T10:22:04Z
department:
- _id: '151'
doi: 10.1016/j.protcy.2014.09.033
intvolume: ' 15'
keyword:
- Self-optimization
- multiobjective optimization
- objective function
- dependability
- intelligent system
- behavior adaptation
language:
- iso: eng
page: 46-53
publication: Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence
quality_controlled: '1'
status: public
title: Method to Identify Dependability Objectives in Multiobjective Optimization
Problem
type: journal_article
user_id: '55222'
volume: 15
year: '2014'
...
---
_id: '46397'
abstract:
- lang: eng
text: In multiobjective optimization, set-based performance indicators are commonly
used to assess the quality of a Pareto front approximation. Based on the scalarization
obtained by these indicators, a performance comparison of multiobjective optimization
algorithms becomes possible. The R2 and the Hypervolume (HV) indicator represent
two recommended approaches which have shown a correlated behavior in recent empirical
studies. Whereas the HV indicator has been comprehensively analyzed in the last
years, almost no studies on the R2 indicator exist. In this paper, we thus perform
a comprehensive investigation of the properties of the R2 indicator in a theoretical
and empirical way. The influence of the number and distribution of the weight
vectors on the optimal distribution of μ solutions is analyzed. Based on a comparative
analysis, specific characteristics and differences of the R2 and HV indicator
are presented.
author:
- first_name: Dimo
full_name: Brockhoff, Dimo
last_name: Brockhoff
- first_name: Tobias
full_name: Wagner, Tobias
last_name: Wagner
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Brockhoff D, Wagner T, Trautmann H. On the Properties of the R2 Indicator.
In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation.
GECCO ’12. Association for Computing Machinery; 2012:465–472. doi:10.1145/2330163.2330230'
apa: Brockhoff, D., Wagner, T., & Trautmann, H. (2012). On the Properties of
the R2 Indicator. Proceedings of the 14th Annual Conference on Genetic and
Evolutionary Computation, 465–472. https://doi.org/10.1145/2330163.2330230
bibtex: '@inproceedings{Brockhoff_Wagner_Trautmann_2012, place={New York, NY, USA},
series={GECCO ’12}, title={On the Properties of the R2 Indicator}, DOI={10.1145/2330163.2330230},
booktitle={Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation}, publisher={Association for Computing Machinery}, author={Brockhoff,
Dimo and Wagner, Tobias and Trautmann, Heike}, year={2012}, pages={465–472}, collection={GECCO
’12} }'
chicago: 'Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties
of the R2 Indicator.” In Proceedings of the 14th Annual Conference on Genetic
and Evolutionary Computation, 465–472. GECCO ’12. New York, NY, USA: Association
for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330230.'
ieee: 'D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,”
in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation,
2012, pp. 465–472, doi: 10.1145/2330163.2330230.'
mla: Brockhoff, Dimo, et al. “On the Properties of the R2 Indicator.” Proceedings
of the 14th Annual Conference on Genetic and Evolutionary Computation, Association
for Computing Machinery, 2012, pp. 465–472, doi:10.1145/2330163.2330230.
short: 'D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual
Conference on Genetic and Evolutionary Computation, Association for Computing
Machinery, New York, NY, USA, 2012, pp. 465–472.'
date_created: 2023-08-04T15:52:42Z
date_updated: 2023-10-16T13:47:23Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2330163.2330230
keyword:
- hypervolume indicator
- multiobjective optimization
- performance assessment
- r2 indicator
language:
- iso: eng
page: 465–472
place: New York, NY, USA
publication: Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation
publication_identifier:
isbn:
- '9781450311779'
publisher: Association for Computing Machinery
series_title: GECCO ’12
status: public
title: On the Properties of the R2 Indicator
type: conference
user_id: '15504'
year: '2012'
...