---
_id: '46351'
abstract:
- lang: eng
text: Clustering is an important field in data mining that aims to reveal hidden
patterns in data sets. It is widely popular in marketing or medical applications
and used to identify groups of similar objects. Clustering possibly unbounded
and evolving data streams is of particular interest due to the widespread deployment
of large and fast data sources such as sensors. The vast majority of stream clustering
algorithms employ a two-phase approach where the stream is first summarized in
an online phase. Upon request, an offline phase reclusters the aggregations into
the final clusters. In this setup, the online component will idle and wait for
the next observation in times where the stream is slow. This paper proposes a
new stream clustering algorithm called evoStream which performs evolutionary optimization
in the idle times of the online phase to incrementally build and refine the final
clusters. Since the online phase would idle otherwise, our approach does not reduce
the processing speed while effectively removing the computational overhead of
the offline phase. In extensive experiments on real data streams we show that
the proposed algorithm allows to output clusters of high quality at any time within
the stream without the need for additional computational resources.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: Carnein M, Trautmann H. evoStream — Evolutionary Stream Clustering Utilizing
Idle Times. Big Data Research. 2018;14:101–111. doi:10.1016/j.bdr.2018.05.005
apa: Carnein, M., & Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering
Utilizing Idle Times. Big Data Research, 14, 101–111. https://doi.org/10.1016/j.bdr.2018.05.005
bibtex: '@article{Carnein_Trautmann_2018, title={evoStream — Evolutionary Stream
Clustering Utilizing Idle Times}, volume={14}, DOI={10.1016/j.bdr.2018.05.005},
journal={Big Data Research}, author={Carnein, Matthias and Trautmann, Heike},
year={2018}, pages={101–111} }'
chicago: 'Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream
Clustering Utilizing Idle Times.” Big Data Research 14 (2018): 101–111.
https://doi.org/10.1016/j.bdr.2018.05.005.'
ieee: 'M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering
Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi:
10.1016/j.bdr.2018.05.005.'
mla: Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering
Utilizing Idle Times.” Big Data Research, vol. 14, 2018, pp. 101–111, doi:10.1016/j.bdr.2018.05.005.
short: M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.
date_created: 2023-08-04T07:55:33Z
date_updated: 2023-10-16T13:33:43Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.bdr.2018.05.005
intvolume: ' 14'
language:
- iso: eng
page: 101–111
publication: Big Data Research
status: public
title: evoStream — Evolutionary Stream Clustering Utilizing Idle Times
type: journal_article
user_id: '15504'
volume: 14
year: '2018'
...
---
_id: '46353'
abstract:
- lang: eng
text: 'Incorporating decision makers'' preferences is of great significance in multiobjective
optimization. Target region-based multiobjective evolutionary algorithms (TMOEAs),
aiming at a well-distributed subset of Pareto optimal solutions within the user-provided
region(s), are extensively investigated in this paper. An empirical comparison
is performed among three TMOEA instantiations: T-NSGA-II, T-SMS-EMOA and T-R2-EMOA.
Experimental results show that T-SMS-EMOA has the best overall performance regarding
the hypervolume indicator within the target region, while T-NSGA-II is the fastest
algorithm. We also compare TMOEAs with other state-of-the-art preference-based
approaches, i.e., DF-SMS-EMOA, RVEA, AS-EMOA and R-NSGA-II to show the advantages
of TMOEAs. A case study in the mission planning of earth observation satellite
is carried out to verify the capabilities of TMOEAs in the real-world application.
Experimental results indicate that preferences can improve the searching ability
of MOEAs, and TMOEAs can successfully find nondominated solutions preferred by
the decision maker.'
author:
- first_name: L
full_name: Li, L
last_name: Li
- first_name: Y
full_name: Wang, Y
last_name: Wang
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: N
full_name: Jing, N
last_name: Jing
- first_name: M
full_name: Emmerich, M
last_name: Emmerich
citation:
ama: Li L, Wang Y, Trautmann H, Jing N, Emmerich M. Multiobjective evolutionary
algorithms based on target region preferences. Swarm and Evolutionary Computation.
2018;40:196–215. doi:10.1016/j.swevo.2018.02.006
apa: Li, L., Wang, Y., Trautmann, H., Jing, N., & Emmerich, M. (2018). Multiobjective
evolutionary algorithms based on target region preferences. Swarm and Evolutionary
Computation, 40, 196–215. https://doi.org/10.1016/j.swevo.2018.02.006
bibtex: '@article{Li_Wang_Trautmann_Jing_Emmerich_2018, title={Multiobjective evolutionary
algorithms based on target region preferences}, volume={40}, DOI={10.1016/j.swevo.2018.02.006},
journal={Swarm and Evolutionary Computation}, author={Li, L and Wang, Y and Trautmann,
Heike and Jing, N and Emmerich, M}, year={2018}, pages={196–215} }'
chicago: 'Li, L, Y Wang, Heike Trautmann, N Jing, and M Emmerich. “Multiobjective
Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary
Computation 40 (2018): 196–215. https://doi.org/10.1016/j.swevo.2018.02.006.'
ieee: 'L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary
algorithms based on target region preferences,” Swarm and Evolutionary Computation,
vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.'
mla: Li, L., et al. “Multiobjective Evolutionary Algorithms Based on Target Region
Preferences.” Swarm and Evolutionary Computation, vol. 40, 2018, pp. 196–215,
doi:10.1016/j.swevo.2018.02.006.
short: L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary
Computation 40 (2018) 196–215.
date_created: 2023-08-04T07:56:57Z
date_updated: 2023-10-16T13:34:21Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.swevo.2018.02.006
intvolume: ' 40'
language:
- iso: eng
page: 196–215
publication: Swarm and Evolutionary Computation
status: public
title: Multiobjective evolutionary algorithms based on target region preferences
type: journal_article
user_id: '15504'
volume: 40
year: '2018'
...
---
_id: '47090'
author:
- first_name: Martin
full_name: Kesternich, Martin
id: '98922'
last_name: Kesternich
citation:
ama: Kesternich M. Bottom-up Climate Mitigation Efforts. Vol 1. EAERE Magazine
1, 19-22; 2018:19-22.
apa: Kesternich, M. (2018). Bottom-up climate mitigation efforts (Vol. 1,
pp. 19–22). EAERE Magazine 1, 19-22.
bibtex: '@book{Kesternich_2018, title={ Bottom-up climate mitigation efforts}, volume={1},
publisher={EAERE Magazine 1, 19-22}, author={Kesternich, Martin}, year={2018},
pages={19–22} }'
chicago: Kesternich, Martin. Bottom-up Climate Mitigation Efforts. Vol.
1. EAERE Magazine 1, 19-22, 2018.
ieee: M. Kesternich, Bottom-up climate mitigation efforts, vol. 1. EAERE
Magazine 1, 19-22, 2018, pp. 19–22.
mla: Kesternich, Martin. Bottom-up Climate Mitigation Efforts. EAERE Magazine
1, 19-22, 2018, pp. 19–22.
short: M. Kesternich, Bottom-up Climate Mitigation Efforts, EAERE Magazine 1, 19-22,
2018.
date_created: 2023-09-16T11:28:51Z
date_updated: 2023-12-06T18:31:10Z
intvolume: ' 1'
language:
- iso: eng
page: 19-22
publisher: EAERE Magazine 1, 19-22
status: public
title: ' Bottom-up climate mitigation efforts'
type: working_paper
user_id: '98922'
volume: 1
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: '48866'
abstract:
- lang: eng
text: 'Bossek, (2018). grapherator: A Modular Multi-Step Graph Generator. Journal
of Open Source Software, 3(22), 528, https://doi.org/10.21105/joss.00528'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Grapherator: A Modular Multi-Step Graph Generator. Journal of
Open Source Software. 2018;3(22):528. doi:10.21105/joss.00528'
apa: 'Bossek, J. (2018). Grapherator: A Modular Multi-Step Graph Generator. Journal
of Open Source Software, 3(22), 528. https://doi.org/10.21105/joss.00528'
bibtex: '@article{Bossek_2018, title={Grapherator: A Modular Multi-Step Graph Generator},
volume={3}, DOI={10.21105/joss.00528},
number={22}, journal={Journal of Open Source Software}, author={Bossek, Jakob},
year={2018}, pages={528} }'
chicago: 'Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal
of Open Source Software 3, no. 22 (2018): 528. https://doi.org/10.21105/joss.00528.'
ieee: 'J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” Journal
of Open Source Software, vol. 3, no. 22, p. 528, 2018, doi: 10.21105/joss.00528.'
mla: 'Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal
of Open Source Software, vol. 3, no. 22, 2018, p. 528, doi:10.21105/joss.00528.'
short: J. Bossek, Journal of Open Source Software 3 (2018) 528.
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:51:50Z
department:
- _id: '819'
doi: 10.21105/joss.00528
intvolume: ' 3'
issue: '22'
language:
- iso: eng
page: '528'
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
status: public
title: 'Grapherator: A Modular Multi-Step Graph Generator'
type: journal_article
user_id: '102979'
volume: 3
year: '2018'
...
---
_id: '54012'
author:
- first_name: Mohammadsadegh
full_name: Mobin, Mohammadsadegh
last_name: Mobin
- first_name: Seyed Mohsen
full_name: Mousavi, Seyed Mohsen
last_name: Mousavi
- first_name: Mohammad
full_name: Komaki, Mohammad
last_name: Komaki
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
citation:
ama: Mobin M, Mousavi SM, Komaki M, Tavana M. A hybrid desirability function approach
for tuning parameters in evolutionary optimization algorithms. Measurement.
2018;114:417-427. doi:10.1016/j.measurement.2017.10.009
apa: Mobin, M., Mousavi, S. M., Komaki, M., & Tavana, M. (2018). A hybrid desirability
function approach for tuning parameters in evolutionary optimization algorithms.
Measurement, 114, 417–427. https://doi.org/10.1016/j.measurement.2017.10.009
bibtex: '@article{Mobin_Mousavi_Komaki_Tavana_2018, title={A hybrid desirability
function approach for tuning parameters in evolutionary optimization algorithms},
volume={114}, DOI={10.1016/j.measurement.2017.10.009},
journal={Measurement}, publisher={Elsevier BV}, author={Mobin, Mohammadsadegh
and Mousavi, Seyed Mohsen and Komaki, Mohammad and Tavana, Madjid}, year={2018},
pages={417–427} }'
chicago: 'Mobin, Mohammadsadegh, Seyed Mohsen Mousavi, Mohammad Komaki, and Madjid
Tavana. “A Hybrid Desirability Function Approach for Tuning Parameters in Evolutionary
Optimization Algorithms.” Measurement 114 (2018): 417–27. https://doi.org/10.1016/j.measurement.2017.10.009.'
ieee: 'M. Mobin, S. M. Mousavi, M. Komaki, and M. Tavana, “A hybrid desirability
function approach for tuning parameters in evolutionary optimization algorithms,”
Measurement, vol. 114, pp. 417–427, 2018, doi: 10.1016/j.measurement.2017.10.009.'
mla: Mobin, Mohammadsadegh, et al. “A Hybrid Desirability Function Approach for
Tuning Parameters in Evolutionary Optimization Algorithms.” Measurement,
vol. 114, Elsevier BV, 2018, pp. 417–27, doi:10.1016/j.measurement.2017.10.009.
short: M. Mobin, S.M. Mousavi, M. Komaki, M. Tavana, Measurement 114 (2018) 417–427.
date_created: 2024-05-06T16:57:34Z
date_updated: 2024-05-06T16:58:27Z
department:
- _id: '277'
doi: 10.1016/j.measurement.2017.10.009
intvolume: ' 114'
language:
- iso: eng
page: 417-427
publication: Measurement
publication_identifier:
issn:
- 0263-2241
publication_status: published
publisher: Elsevier BV
status: public
title: A hybrid desirability function approach for tuning parameters in evolutionary
optimization algorithms
type: journal_article
user_id: '51811'
volume: 114
year: '2018'
...
---
_id: '54006'
author:
- first_name: Majid
full_name: Esmaelian, Majid
last_name: Esmaelian
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Masoumeh
full_name: Vali, Masoumeh
last_name: Vali
citation:
ama: Esmaelian M, Tavana M, Santos-Arteaga FJ, Vali M. A novel genetic algorithm
based method for solving continuous nonlinear optimization problems through subdividing
and labeling. Measurement. 2018;115:27-38. doi:10.1016/j.measurement.2017.09.034
apa: Esmaelian, M., Tavana, M., Santos-Arteaga, F. J., & Vali, M. (2018). A
novel genetic algorithm based method for solving continuous nonlinear optimization
problems through subdividing and labeling. Measurement, 115, 27–38.
https://doi.org/10.1016/j.measurement.2017.09.034
bibtex: '@article{Esmaelian_Tavana_Santos-Arteaga_Vali_2018, title={A novel genetic
algorithm based method for solving continuous nonlinear optimization problems
through subdividing and labeling}, volume={115}, DOI={10.1016/j.measurement.2017.09.034},
journal={Measurement}, publisher={Elsevier BV}, author={Esmaelian, Majid and Tavana,
Madjid and Santos-Arteaga, Francisco J. and Vali, Masoumeh}, year={2018}, pages={27–38}
}'
chicago: 'Esmaelian, Majid, Madjid Tavana, Francisco J. Santos-Arteaga, and Masoumeh
Vali. “A Novel Genetic Algorithm Based Method for Solving Continuous Nonlinear
Optimization Problems through Subdividing and Labeling.” Measurement 115
(2018): 27–38. https://doi.org/10.1016/j.measurement.2017.09.034.'
ieee: 'M. Esmaelian, M. Tavana, F. J. Santos-Arteaga, and M. Vali, “A novel genetic
algorithm based method for solving continuous nonlinear optimization problems
through subdividing and labeling,” Measurement, vol. 115, pp. 27–38, 2018,
doi: 10.1016/j.measurement.2017.09.034.'
mla: Esmaelian, Majid, et al. “A Novel Genetic Algorithm Based Method for Solving
Continuous Nonlinear Optimization Problems through Subdividing and Labeling.”
Measurement, vol. 115, Elsevier BV, 2018, pp. 27–38, doi:10.1016/j.measurement.2017.09.034.
short: M. Esmaelian, M. Tavana, F.J. Santos-Arteaga, M. Vali, Measurement 115 (2018)
27–38.
date_created: 2024-05-06T16:53:45Z
date_updated: 2024-05-06T16:58:38Z
department:
- _id: '277'
doi: 10.1016/j.measurement.2017.09.034
intvolume: ' 115'
language:
- iso: eng
page: 27-38
publication: Measurement
publication_identifier:
issn:
- 0263-2241
publication_status: published
publisher: Elsevier BV
status: public
title: A novel genetic algorithm based method for solving continuous nonlinear optimization
problems through subdividing and labeling
type: journal_article
user_id: '51811'
volume: 115
year: '2018'
...
---
_id: '53997'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Saleh
full_name: Shahdi-Pashaki, Saleh
last_name: Shahdi-Pashaki
- first_name: Ehsan
full_name: Teymourian, Ehsan
last_name: Teymourian
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Mohammad
full_name: Komaki, Mohammad
last_name: Komaki
citation:
ama: Tavana M, Shahdi-Pashaki S, Teymourian E, Santos-Arteaga FJ, Komaki M. A discrete
cuckoo optimization algorithm for consolidation in cloud computing. Computers
& Industrial Engineering. 2018;115:495-511. doi:10.1016/j.cie.2017.12.001
apa: Tavana, M., Shahdi-Pashaki, S., Teymourian, E., Santos-Arteaga, F. J., &
Komaki, M. (2018). A discrete cuckoo optimization algorithm for consolidation
in cloud computing. Computers & Industrial Engineering, 115,
495–511. https://doi.org/10.1016/j.cie.2017.12.001
bibtex: '@article{Tavana_Shahdi-Pashaki_Teymourian_Santos-Arteaga_Komaki_2018, title={A
discrete cuckoo optimization algorithm for consolidation in cloud computing},
volume={115}, DOI={10.1016/j.cie.2017.12.001},
journal={Computers & Industrial Engineering}, publisher={Elsevier BV},
author={Tavana, Madjid and Shahdi-Pashaki, Saleh and Teymourian, Ehsan and Santos-Arteaga,
Francisco J. and Komaki, Mohammad}, year={2018}, pages={495–511} }'
chicago: 'Tavana, Madjid, Saleh Shahdi-Pashaki, Ehsan Teymourian, Francisco J. Santos-Arteaga,
and Mohammad Komaki. “A Discrete Cuckoo Optimization Algorithm for Consolidation
in Cloud Computing.” Computers & Industrial Engineering 115 (2018):
495–511. https://doi.org/10.1016/j.cie.2017.12.001.'
ieee: 'M. Tavana, S. Shahdi-Pashaki, E. Teymourian, F. J. Santos-Arteaga, and M.
Komaki, “A discrete cuckoo optimization algorithm for consolidation in cloud computing,”
Computers & Industrial Engineering, vol. 115, pp. 495–511, 2018,
doi: 10.1016/j.cie.2017.12.001.'
mla: Tavana, Madjid, et al. “A Discrete Cuckoo Optimization Algorithm for Consolidation
in Cloud Computing.” Computers & Industrial Engineering, vol. 115,
Elsevier BV, 2018, pp. 495–511, doi:10.1016/j.cie.2017.12.001.
short: M. Tavana, S. Shahdi-Pashaki, E. Teymourian, F.J. Santos-Arteaga, M. Komaki,
Computers & Industrial Engineering 115 (2018) 495–511.
date_created: 2024-05-06T16:47:47Z
date_updated: 2024-05-06T16:58:58Z
department:
- _id: '277'
doi: 10.1016/j.cie.2017.12.001
intvolume: ' 115'
language:
- iso: eng
page: 495-511
publication: Computers & Industrial Engineering
publication_identifier:
issn:
- 0360-8352
publication_status: published
publisher: Elsevier BV
status: public
title: A discrete cuckoo optimization algorithm for consolidation in cloud computing
type: journal_article
user_id: '51811'
volume: 115
year: '2018'
...
---
_id: '46348'
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: Guenter
full_name: Rudolph, Guenter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
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. ACM; 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={ACM}, author={Bossek, Jakob and Grimme, Christian and Meisel, Stephan
and Rudolph, Guenter and Trautmann, Heike}, year={2018}, pages={585–592}, collection={GECCO
’18} }'
chicago: 'Bossek, Jakob, Christian Grimme, Stephan Meisel, Guenter 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: ACM, 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, ACM,
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, ACM, New York, NY, USA,
2018, pp. 585–592.'
date_created: 2023-08-04T07:53:16Z
date_updated: 2024-06-10T11:59:09Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3205455.3205548
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
publisher: ACM
series_title: GECCO ’18
status: public
title: Local Search Effects in Bi-Objective Orienteering
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '46349'
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
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
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 (GECCO ’18) Companion.
; 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
(GECCO ’18) Companion, 1737–1744. https://doi.org/10.1145/3205651.3208233'
bibtex: '@inproceedings{Kerschke_Bossek_Trautmann_2018, place={Kyoto, Japan}, 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
(GECCO ’18) Companion}, author={Kerschke, Pascal and Bossek, Jakob and Trautmann,
Heike}, year={2018}, pages={1737–1744} }'
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
(GECCO ’18) Companion, 1737–1744. Kyoto, Japan, 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 (GECCO ’18) 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 (GECCO ’18) Companion,
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 (GECCO ’18) Companion, Kyoto, Japan, 2018,
pp. 1737–1744.'
date_created: 2023-08-04T07:53:59Z
date_updated: 2024-06-10T11:58:54Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3205651.3208233
language:
- iso: eng
page: 1737–1744
place: Kyoto, Japan
publication: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO
’18) Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7/18/07
status: public
title: 'Parameterization of State-of-the-Art Performance Indicators: A Robustness
Study Based on Inexact TSP Solvers'
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '54928'
abstract:
- lang: eng
text: The epithelial Na+ channel (ENaC) is a heteromeric channel composed of three
subunits ($\alpha$, $\beta$, $\gamma$). At the C-terminus of each subunit, a PY-motif
allows binding of the ubiquitin ligase Nedd4-2 which plays a key role in promoting
ENaC retrieval from the plasma membrane. Phosphorylation of Nedd4-2 by the serum
and glucocorticoid-inducible kinase 1 (Sgk1) reduces Nedd4-2 binding to the PY-motifs.
In $\beta$ and $\gamma$ENaC, threonine residues ($\beta$T613, $\gamma$T623) belong
to an extracellular signal-regulated kinase (ERK) motif and directly precede the
PY-motifs. Thus, phosphorylation of these residues may modulate the interaction
of their adjacent PY-motifs with Nedd4-2. In this study, a phosphospecific antibody
was used to demonstrate phosphorylation of $\beta$T613 in Xenopus laevis oocytes
heterologously expressing rat $\alpha$$\beta$$\gamma$ENaC. Treating the oocytes
with progesterone to stimulate ERK increased phosphorylation of $\beta$T613. Inactivation
of the putative phosphorylation sites by mutating both threonine residues to alanine
($\beta$T613A/$\gamma$T623A) increased ENaC-mediated amiloride-sensitive whole-cell
currents ($\Delta$Iami) and expression of $\beta$ENaC at the cell surface. Co-expression
of Nedd4-2 largely reduced $\Delta$Iami in oocytes expressing $\alpha$$\beta$$\gamma$ENaC
or channels with mutated PY-motifs in $\alpha$ and $\gamma$ENaC or in $\alpha$
and $\beta$ENaC. Importantly, the inhibitory effect of co-expressed Nedd4-2 was
largely reduced in channels with mutated PY-motifs in $\alpha$ and $\gamma$ENaC
when combined with the $\beta$T613A mutation but conserved in channels with mutated
PY-motifs in $\alpha$ and $\beta$ENaC combined with the $\gamma$T623A mutation.
These results suggest that phosphorylation and dephosphorylation of $\beta$T613
play a prominent role in regulating Nedd4-2-mediated ENaC retrieval from the plasma
membrane.
author:
- first_name: Bettina
full_name: Krueger, Bettina
id: '49428'
last_name: Krueger
orcid: 0000-0001-5351-1785
- first_name: Limin
full_name: Yang, Limin
last_name: Yang
- first_name: Christoph
full_name: Korbmacher, Christoph
last_name: Korbmacher
- first_name: Robert
full_name: Rauh, Robert
last_name: Rauh
citation:
ama: Krueger B, Yang L, Korbmacher C, Rauh R. The phosphorylation site T613 in the
$\beta$-subunit of rat epithelial Na+ channel (ENaC) modulates channel inhibition
by Nedd4-2. Pflügers Archiv - European Journal of Physiology. 2018;470(4):649–660.
doi:10.1007/s00424-018-2115-2
apa: Krueger, B., Yang, L., Korbmacher, C., & Rauh, R. (2018). The phosphorylation
site T613 in the $\beta$-subunit of rat epithelial Na+ channel (ENaC) modulates
channel inhibition by Nedd4-2. Pflügers Archiv - European Journal of Physiology,
470(4), 649–660. https://doi.org/10.1007/s00424-018-2115-2
bibtex: '@article{Krueger_Yang_Korbmacher_Rauh_2018, title={The phosphorylation
site T613 in the $\beta$-subunit of rat epithelial Na+ channel (ENaC) modulates
channel inhibition by Nedd4-2}, volume={470}, DOI={10.1007/s00424-018-2115-2},
number={4}, journal={Pflügers Archiv - European Journal of Physiology}, publisher={Springer},
author={Krueger, Bettina and Yang, Limin and Korbmacher, Christoph and Rauh, Robert},
year={2018}, pages={649–660} }'
chicago: 'Krueger, Bettina, Limin Yang, Christoph Korbmacher, and Robert Rauh. “The
Phosphorylation Site T613 in the $\beta$-Subunit of Rat Epithelial Na+ Channel
(ENaC) Modulates Channel Inhibition by Nedd4-2.” Pflügers Archiv - European
Journal of Physiology 470, no. 4 (2018): 649–660. https://doi.org/10.1007/s00424-018-2115-2.'
ieee: 'B. Krueger, L. Yang, C. Korbmacher, and R. Rauh, “The phosphorylation site
T613 in the $\beta$-subunit of rat epithelial Na+ channel (ENaC) modulates channel
inhibition by Nedd4-2,” Pflügers Archiv - European Journal of Physiology,
vol. 470, no. 4, pp. 649–660, 2018, doi: 10.1007/s00424-018-2115-2.'
mla: Krueger, Bettina, et al. “The Phosphorylation Site T613 in the $\beta$-Subunit
of Rat Epithelial Na+ Channel (ENaC) Modulates Channel Inhibition by Nedd4-2.”
Pflügers Archiv - European Journal of Physiology, vol. 470, no. 4, Springer,
2018, pp. 649–660, doi:10.1007/s00424-018-2115-2.
short: B. Krueger, L. Yang, C. Korbmacher, R. Rauh, Pflügers Archiv - European Journal
of Physiology 470 (2018) 649–660.
date_created: 2024-06-30T13:43:17Z
date_updated: 2024-06-30T13:43:39Z
department:
- _id: '35'
- _id: '22'
doi: 10.1007/s00424-018-2115-2
intvolume: ' 470'
issue: '4'
language:
- iso: eng
page: 649–660
publication: Pflügers Archiv - European Journal of Physiology
publisher: Springer
status: public
title: The phosphorylation site T613 in the $\beta$-subunit of rat epithelial Na+
channel (ENaC) modulates channel inhibition by Nedd4-2
type: journal_article
user_id: '49428'
volume: 470
year: '2018'
...
---
_id: '34130'
abstract:
- lang: eng
text: There have been numerous studies so far highlighting the potential of Augmented
Reality (AR) in different educational domains and its impact on learners regarding
their increased motivation, improved learning, concentration on the topic etc.
Ever since high-end AR applications could be used on smartphones, this technology
has become suitable to be used in many formal and informal learning environments
and educational institutions, beginning with Arts courses in preschool over Biology,
History, Chemistry, Physics etc. in K-12 and universities as well as in vocational
schools ([1], [2]), e.g. for assembly trainings [3]. However, less research has
been done regarding proper educational design principles and guides identifying
the learning-promoting characteristics as to their efficacy in an AR environment
([1], [4]). Particularly there is a big lack for design concepts in the field
of preparation and accompanying tools for laboratory work, since current studies
are only extending real papers or books with additional links, videos or static
3D models (e.g. [5], [6]). Hence, this paper investigates and focuses at a design
concept for mobile device based AR application (App) to acquire and deepen practical
skills in dealing with electro-technical laboratory equipment and components.
In a previous paper, the potentials and limitation of AR technology regarding
engineering education with a special focus on laboratory work have been investigated
to avoid common mistakes in the design concept.
author:
- first_name: Mesut
full_name: Alptekin, Mesut
id: '11763'
last_name: Alptekin
- first_name: Katrin
full_name: Temmen, Katrin
id: '30086'
last_name: Temmen
citation:
ama: 'Alptekin M, Temmen K. Design concept and prototype for an augmented reality
based virtual preparation laboratory training in electrical engineering. In: 2018
IEEE Global Engineering Education Conference (EDUCON). Augmented Reality ,
Laboratory Training , Engineering Education , AR design concept. IEEE; 2018:963-968.
doi:10.1109/educon.2018.8363334'
apa: Alptekin, M., & Temmen, K. (2018). Design concept and prototype for an
augmented reality based virtual preparation laboratory training in electrical
engineering. 2018 IEEE Global Engineering Education Conference (EDUCON),
963–968. https://doi.org/10.1109/educon.2018.8363334
bibtex: '@inproceedings{Alptekin_Temmen_2018, series={Augmented Reality , Laboratory
Training , Engineering Education , AR design concept}, title={Design concept and
prototype for an augmented reality based virtual preparation laboratory training
in electrical engineering}, DOI={10.1109/educon.2018.8363334},
booktitle={2018 IEEE Global Engineering Education Conference (EDUCON)}, publisher={IEEE},
author={Alptekin, Mesut and Temmen, Katrin}, year={2018}, pages={963–968}, collection={Augmented
Reality , Laboratory Training , Engineering Education , AR design concept} }'
chicago: Alptekin, Mesut, and Katrin Temmen. “Design Concept and Prototype for an
Augmented Reality Based Virtual Preparation Laboratory Training in Electrical
Engineering.” In 2018 IEEE Global Engineering Education Conference (EDUCON),
963–68. Augmented Reality , Laboratory Training , Engineering Education , AR Design
Concept. IEEE, 2018. https://doi.org/10.1109/educon.2018.8363334.
ieee: 'M. Alptekin and K. Temmen, “Design concept and prototype for an augmented
reality based virtual preparation laboratory training in electrical engineering,”
in 2018 IEEE Global Engineering Education Conference (EDUCON), Santa Cruz
de Tenerife, Spain, 2018, pp. 963–968, doi: 10.1109/educon.2018.8363334.'
mla: Alptekin, Mesut, and Katrin Temmen. “Design Concept and Prototype for an Augmented
Reality Based Virtual Preparation Laboratory Training in Electrical Engineering.”
2018 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2018,
pp. 963–68, doi:10.1109/educon.2018.8363334.
short: 'M. Alptekin, K. Temmen, in: 2018 IEEE Global Engineering Education Conference
(EDUCON), IEEE, 2018, pp. 963–968.'
conference:
end_date: 2018-04-20
location: Santa Cruz de Tenerife, Spain
name: Global Engineering Education Conference (EDUCON) 2018
start_date: 2018-04-17
date_created: 2022-11-22T12:21:24Z
date_updated: 2023-01-18T14:34:06Z
department:
- _id: '34'
- _id: '300'
doi: 10.1109/educon.2018.8363334
language:
- iso: eng
page: 963-968
publication: 2018 IEEE Global Engineering Education Conference (EDUCON)
publication_identifier:
isbn:
- 978-1-5386-2957-4
publication_status: published
publisher: IEEE
series_title: Augmented Reality , Laboratory Training , Engineering Education , AR
design concept
status: public
title: Design concept and prototype for an augmented reality based virtual preparation
laboratory training in electrical engineering
type: conference
user_id: '11763'
year: '2018'
...
---
_id: '40193'
citation:
ama: Häußler A, Küster C, Ohrem S, Wagenknecht I, eds. Care Und Die Wissenschaft
Vom Haushalt. Springer Fachmedien Wiesbaden; 2018. doi:10.1007/978-3-658-19362-1
apa: Häußler, A., Küster, C., Ohrem, S., & Wagenknecht, I. (Eds.). (2018). Care
und die Wissenschaft vom Haushalt. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-19362-1
bibtex: '@book{Häußler_Küster_Ohrem_Wagenknecht_2018, place={Wiesbaden}, title={Care
und die Wissenschaft vom Haushalt}, DOI={10.1007/978-3-658-19362-1},
publisher={Springer Fachmedien Wiesbaden}, year={2018} }'
chicago: 'Häußler, Angela, Christine Küster, Sandra Ohrem, and Inga Wagenknecht,
eds. Care Und Die Wissenschaft Vom Haushalt. Wiesbaden: Springer Fachmedien
Wiesbaden, 2018. https://doi.org/10.1007/978-3-658-19362-1.'
ieee: 'A. Häußler, C. Küster, S. Ohrem, and I. Wagenknecht, Eds., Care und die
Wissenschaft vom Haushalt. Wiesbaden: Springer Fachmedien Wiesbaden, 2018.'
mla: Häußler, Angela, et al., editors. Care Und Die Wissenschaft Vom Haushalt.
Springer Fachmedien Wiesbaden, 2018, doi:10.1007/978-3-658-19362-1.
short: A. Häußler, C. Küster, S. Ohrem, I. Wagenknecht, eds., Care Und Die Wissenschaft
Vom Haushalt, Springer Fachmedien Wiesbaden, Wiesbaden, 2018.
date_created: 2023-01-26T08:27:42Z
date_updated: 2023-01-26T09:19:28Z
department:
- _id: '22'
doi: 10.1007/978-3-658-19362-1
editor:
- first_name: Angela
full_name: Häußler, Angela
last_name: Häußler
- first_name: Christine
full_name: Küster, Christine
last_name: Küster
- first_name: Sandra
full_name: Ohrem, Sandra
last_name: Ohrem
- first_name: Inga
full_name: Wagenknecht, Inga
id: '98804'
last_name: Wagenknecht
language:
- iso: eng
place: Wiesbaden
publication_identifier:
isbn:
- '9783658193614'
- '9783658193621'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Care und die Wissenschaft vom Haushalt
type: book_editor
user_id: '50419'
year: '2018'
...
---
_id: '40585'
author:
- first_name: Nieves
full_name: Lopez Salas, Nieves
id: '98120'
last_name: Lopez Salas
orcid: https://orcid.org/0000-0002-8438-9548
- first_name: M.L.
full_name: Ferrer, M.L.
last_name: Ferrer
- first_name: M.C.
full_name: Gutiérrez, M.C.
last_name: Gutiérrez
- first_name: J.L.G.
full_name: Fierro, J.L.G.
last_name: Fierro
- first_name: C.
full_name: Cuadrado-Collados, C.
last_name: Cuadrado-Collados
- first_name: J.
full_name: Gandara-Loe, J.
last_name: Gandara-Loe
- first_name: J.
full_name: Silvestre-Albero, J.
last_name: Silvestre-Albero
- first_name: F.
full_name: del Monte, F.
last_name: del Monte
citation:
ama: Lopez Salas N, Ferrer ML, Gutiérrez MC, et al. Hydrogen-bond supramolecular
hydrogels as efficient precursors in the preparation of freestanding 3D carbonaceous
architectures containing BCNO nanocrystals and exhibiting a high CO2/CH4 adsorption
ratio. Carbon. 2018;134:470-479. doi:10.1016/j.carbon.2018.03.066
apa: Lopez Salas, N., Ferrer, M. L., Gutiérrez, M. C., Fierro, J. L. G., Cuadrado-Collados,
C., Gandara-Loe, J., Silvestre-Albero, J., & del Monte, F. (2018). Hydrogen-bond
supramolecular hydrogels as efficient precursors in the preparation of freestanding
3D carbonaceous architectures containing BCNO nanocrystals and exhibiting a high
CO2/CH4 adsorption ratio. Carbon, 134, 470–479. https://doi.org/10.1016/j.carbon.2018.03.066
bibtex: '@article{Lopez Salas_Ferrer_Gutiérrez_Fierro_Cuadrado-Collados_Gandara-Loe_Silvestre-Albero_del
Monte_2018, title={Hydrogen-bond supramolecular hydrogels as efficient precursors
in the preparation of freestanding 3D carbonaceous architectures containing BCNO
nanocrystals and exhibiting a high CO2/CH4 adsorption ratio}, volume={134}, DOI={10.1016/j.carbon.2018.03.066},
journal={Carbon}, publisher={Elsevier BV}, author={Lopez Salas, Nieves and Ferrer,
M.L. and Gutiérrez, M.C. and Fierro, J.L.G. and Cuadrado-Collados, C. and Gandara-Loe,
J. and Silvestre-Albero, J. and del Monte, F.}, year={2018}, pages={470–479} }'
chicago: 'Lopez Salas, Nieves, M.L. Ferrer, M.C. Gutiérrez, J.L.G. Fierro, C. Cuadrado-Collados,
J. Gandara-Loe, J. Silvestre-Albero, and F. del Monte. “Hydrogen-Bond Supramolecular
Hydrogels as Efficient Precursors in the Preparation of Freestanding 3D Carbonaceous
Architectures Containing BCNO Nanocrystals and Exhibiting a High CO2/CH4 Adsorption
Ratio.” Carbon 134 (2018): 470–79. https://doi.org/10.1016/j.carbon.2018.03.066.'
ieee: 'N. Lopez Salas et al., “Hydrogen-bond supramolecular hydrogels as
efficient precursors in the preparation of freestanding 3D carbonaceous architectures
containing BCNO nanocrystals and exhibiting a high CO2/CH4 adsorption ratio,”
Carbon, vol. 134, pp. 470–479, 2018, doi: 10.1016/j.carbon.2018.03.066.'
mla: Lopez Salas, Nieves, et al. “Hydrogen-Bond Supramolecular Hydrogels as Efficient
Precursors in the Preparation of Freestanding 3D Carbonaceous Architectures Containing
BCNO Nanocrystals and Exhibiting a High CO2/CH4 Adsorption Ratio.” Carbon,
vol. 134, Elsevier BV, 2018, pp. 470–79, doi:10.1016/j.carbon.2018.03.066.
short: N. Lopez Salas, M.L. Ferrer, M.C. Gutiérrez, J.L.G. Fierro, C. Cuadrado-Collados,
J. Gandara-Loe, J. Silvestre-Albero, F. del Monte, Carbon 134 (2018) 470–479.
date_created: 2023-01-27T16:21:56Z
date_updated: 2023-01-27T16:28:06Z
doi: 10.1016/j.carbon.2018.03.066
intvolume: ' 134'
keyword:
- General Chemistry
- General Materials Science
language:
- iso: eng
page: 470-479
publication: Carbon
publication_identifier:
issn:
- 0008-6223
publication_status: published
publisher: Elsevier BV
status: public
title: Hydrogen-bond supramolecular hydrogels as efficient precursors in the preparation
of freestanding 3D carbonaceous architectures containing BCNO nanocrystals and exhibiting
a high CO2/CH4 adsorption ratio
type: journal_article
user_id: '98120'
volume: 134
year: '2018'
...
---
_id: '42215'
author:
- first_name: S.
full_name: Liu, S.
last_name: Liu
- first_name: L.
full_name: Xie, L.
last_name: Xie
- first_name: D. E.
full_name: Quevedo, D. E.
last_name: Quevedo
citation:
ama: Liu S, Xie L, Quevedo DE. Event-Triggered Quantized Communication-Based Distributed
Convex Optimization. Trans Contr Network Syst. 2018;5(1):167–178.
apa: Liu, S., Xie, L., & Quevedo, D. E. (2018). Event-Triggered Quantized Communication-Based
Distributed Convex Optimization. Trans. Contr. Network Syst., 5(1),
167–178.
bibtex: '@article{Liu_Xie_Quevedo_2018, title={Event-Triggered Quantized Communication-Based
Distributed Convex Optimization}, volume={5}, number={1}, journal={Trans. Contr.
Network Syst.}, author={Liu, S. and Xie, L. and Quevedo, D. E.}, year={2018},
pages={167–178} }'
chicago: 'Liu, S., L. Xie, and D. E. Quevedo. “Event-Triggered Quantized Communication-Based
Distributed Convex Optimization.” Trans. Contr. Network Syst. 5, no. 1
(2018): 167–178.'
ieee: S. Liu, L. Xie, and D. E. Quevedo, “Event-Triggered Quantized Communication-Based
Distributed Convex Optimization,” Trans. Contr. Network Syst., vol. 5,
no. 1, pp. 167–178, 2018.
mla: Liu, S., et al. “Event-Triggered Quantized Communication-Based Distributed
Convex Optimization.” Trans. Contr. Network Syst., vol. 5, no. 1, 2018,
pp. 167–178.
short: S. Liu, L. Xie, D.E. Quevedo, Trans. Contr. Network Syst. 5 (2018) 167–178.
date_created: 2023-02-17T14:33:58Z
date_updated: 2023-02-17T14:38:57Z
department:
- _id: '57'
intvolume: ' 5'
issue: '1'
language:
- iso: eng
page: 167–178
publication: Trans. Contr. Network Syst.
status: public
title: Event-Triggered Quantized Communication-Based Distributed Convex Optimization
type: journal_article
user_id: '238'
volume: 5
year: '2018'
...
---
_id: '42533'
author:
- first_name: Katharina
full_name: Dibblee, Katharina
last_name: Dibblee
citation:
ama: Dibblee K. 3D-Risswachstum in homogenen, isotropen sowie funktional gradierten
Strukturen. Vol 350.; 2018.
apa: Dibblee, K. (2018). 3D-Risswachstum in homogenen, isotropen sowie funktional
gradierten Strukturen (Vol. 350).
bibtex: '@book{Dibblee_2018, series={Fortschritt-Berichte VDI}, title={3D-Risswachstum
in homogenen, isotropen sowie funktional gradierten Strukturen}, volume={350},
author={Dibblee, Katharina}, year={2018}, collection={Fortschritt-Berichte VDI}
}'
chicago: Dibblee, Katharina. 3D-Risswachstum in homogenen, isotropen sowie funktional
gradierten Strukturen. Vol. 350. Fortschritt-Berichte VDI, 2018.
ieee: K. Dibblee, 3D-Risswachstum in homogenen, isotropen sowie funktional gradierten
Strukturen, vol. 350. 2018.
mla: Dibblee, Katharina. 3D-Risswachstum in homogenen, isotropen sowie funktional
gradierten Strukturen. 2018.
short: K. Dibblee, 3D-Risswachstum in homogenen, isotropen sowie funktional gradierten
Strukturen, 2018.
date_created: 2023-02-27T11:51:51Z
date_updated: 2023-02-27T11:52:29Z
department:
- _id: '143'
intvolume: ' 350'
language:
- iso: ger
page: '180'
publication_identifier:
isbn:
- 978-3-18-335018-6
issn:
- 0178-9457
series_title: Fortschritt-Berichte VDI
status: public
supervisor:
- first_name: Hans Albert
full_name: Richard, Hans Albert
last_name: Richard
title: 3D-Risswachstum in homogenen, isotropen sowie funktional gradierten Strukturen
type: dissertation
user_id: '45673'
volume: 350
year: '2018'
...
---
_id: '43015'
author:
- first_name: Bianca
full_name: Stutz, Bianca
id: '77099'
last_name: Stutz
- first_name: A.J.
full_name: Ahola, A.J.
last_name: Ahola
- first_name: V.
full_name: Harjutsalo, V.
last_name: Harjutsalo
- first_name: C.
full_name: Forsblom, C.
last_name: Forsblom
- first_name: P.-H.
full_name: Groop, P.-H.
last_name: Groop
citation:
ama: Stutz B, Ahola AJ, Harjutsalo V, Forsblom C, Groop P-H. Association between
habitual coffee consumption and metabolic syndrome in type 1 diabetes. Nutrition,
Metabolism and Cardiovascular Diseases. 2018;28(5):470-476. doi:10.1016/j.numecd.2018.01.011
apa: Stutz, B., Ahola, A. J., Harjutsalo, V., Forsblom, C., & Groop, P.-H. (2018).
Association between habitual coffee consumption and metabolic syndrome in type
1 diabetes. Nutrition, Metabolism and Cardiovascular Diseases, 28(5),
470–476. https://doi.org/10.1016/j.numecd.2018.01.011
bibtex: '@article{Stutz_Ahola_Harjutsalo_Forsblom_Groop_2018, title={Association
between habitual coffee consumption and metabolic syndrome in type 1 diabetes},
volume={28}, DOI={10.1016/j.numecd.2018.01.011},
number={5}, journal={Nutrition, Metabolism and Cardiovascular Diseases}, publisher={Elsevier
BV}, author={Stutz, Bianca and Ahola, A.J. and Harjutsalo, V. and Forsblom, C.
and Groop, P.-H.}, year={2018}, pages={470–476} }'
chicago: 'Stutz, Bianca, A.J. Ahola, V. Harjutsalo, C. Forsblom, and P.-H. Groop.
“Association between Habitual Coffee Consumption and Metabolic Syndrome in Type
1 Diabetes.” Nutrition, Metabolism and Cardiovascular Diseases 28, no.
5 (2018): 470–76. https://doi.org/10.1016/j.numecd.2018.01.011.'
ieee: 'B. Stutz, A. J. Ahola, V. Harjutsalo, C. Forsblom, and P.-H. Groop, “Association
between habitual coffee consumption and metabolic syndrome in type 1 diabetes,”
Nutrition, Metabolism and Cardiovascular Diseases, vol. 28, no. 5, pp.
470–476, 2018, doi: 10.1016/j.numecd.2018.01.011.'
mla: Stutz, Bianca, et al. “Association between Habitual Coffee Consumption and
Metabolic Syndrome in Type 1 Diabetes.” Nutrition, Metabolism and Cardiovascular
Diseases, vol. 28, no. 5, Elsevier BV, 2018, pp. 470–76, doi:10.1016/j.numecd.2018.01.011.
short: B. Stutz, A.J. Ahola, V. Harjutsalo, C. Forsblom, P.-H. Groop, Nutrition,
Metabolism and Cardiovascular Diseases 28 (2018) 470–476.
date_created: 2023-03-14T10:38:41Z
date_updated: 2023-03-14T10:40:55Z
department:
- _id: '17'
- _id: '22'
- _id: '571'
doi: 10.1016/j.numecd.2018.01.011
intvolume: ' 28'
issue: '5'
keyword:
- Cardiology and Cardiovascular Medicine
- Nutrition and Dietetics
- Endocrinology
- Diabetes and Metabolism
- Medicine (miscellaneous)
language:
- iso: eng
page: 470-476
publication: Nutrition, Metabolism and Cardiovascular Diseases
publication_identifier:
issn:
- 0939-4753
publication_status: published
publisher: Elsevier BV
status: public
title: Association between habitual coffee consumption and metabolic syndrome in type
1 diabetes
type: journal_article
user_id: '61597'
volume: 28
year: '2018'
...
---
_id: '21457'
abstract:
- lang: eng
text: This paper presents the finite element model developed for the simulation
of pipe elbow production by the so-called ‘Hamburg process’ in order to improve
productivity and resource efficiency. To optimize the tooling design, a sensitivity
analysis of the tool parameters that influence the quality of pipe elbows, such
as mandrel height and length, is conducted. Different materials data sets including
damage models were considered. Using numerical simulations, it is possible to
determine an optimized tool geometry for the production of specific pipe elbow
dimensions. Furthermore, as a result of the experiments and numerical simulations
conducted, it is possible to increase the production velocity of the serial plant.
Along with deformation, damage models are included in simulations in order to
identify the right process boundaries. Finally, an experimentally validated model
is developed for increasing resource efficiency in pipe elbow fabrication.
author:
- first_name: Uwe
full_name: Diekmann, Uwe
last_name: Diekmann
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Jens
full_name: Prehm, Jens
last_name: Prehm
- first_name: Tim
full_name: Rostek, Tim
id: '3469'
last_name: Rostek
- first_name: Nils
full_name: Schönhoff, Nils
last_name: Schönhoff
- first_name: Dmitri
full_name: Tabakajew, Dmitri
last_name: Tabakajew
- first_name: Andreea
full_name: Trasca, Andreea
last_name: Trasca
- first_name: Haris
full_name: Uysal, Haris
last_name: Uysal
citation:
ama: 'Diekmann U, Homberg W, Prehm J, et al. Optimization of Tooling Design for
Hot Mandrel Bending of Pipe Elbows. In: Materials Science Forum. Vol 918.
Trans Tech Publications Ltd; 2018:159-164. doi:10.4028/www.scientific.net/msf.918.159'
apa: Diekmann, U., Homberg, W., Prehm, J., Rostek, T., Schönhoff, N., Tabakajew,
D., Trasca, A., & Uysal, H. (2018). Optimization of Tooling Design for Hot
Mandrel Bending of Pipe Elbows. Materials Science Forum, 918, 159–164.
https://doi.org/10.4028/www.scientific.net/msf.918.159
bibtex: '@inproceedings{Diekmann_Homberg_Prehm_Rostek_Schönhoff_Tabakajew_Trasca_Uysal_2018,
title={Optimization of Tooling Design for Hot Mandrel Bending of Pipe Elbows},
volume={918}, DOI={10.4028/www.scientific.net/msf.918.159},
booktitle={Materials Science Forum}, publisher={Trans Tech Publications Ltd},
author={Diekmann, Uwe and Homberg, Werner and Prehm, Jens and Rostek, Tim and
Schönhoff, Nils and Tabakajew, Dmitri and Trasca, Andreea and Uysal, Haris}, year={2018},
pages={159–164} }'
chicago: Diekmann, Uwe, Werner Homberg, Jens Prehm, Tim Rostek, Nils Schönhoff,
Dmitri Tabakajew, Andreea Trasca, and Haris Uysal. “Optimization of Tooling Design
for Hot Mandrel Bending of Pipe Elbows.” In Materials Science Forum, 918:159–64.
Trans Tech Publications Ltd, 2018. https://doi.org/10.4028/www.scientific.net/msf.918.159.
ieee: 'U. Diekmann et al., “Optimization of Tooling Design for Hot Mandrel
Bending of Pipe Elbows,” in Materials Science Forum, 2018, vol. 918, pp.
159–164, doi: 10.4028/www.scientific.net/msf.918.159.'
mla: Diekmann, Uwe, et al. “Optimization of Tooling Design for Hot Mandrel Bending
of Pipe Elbows.” Materials Science Forum, vol. 918, Trans Tech Publications
Ltd, 2018, pp. 159–64, doi:10.4028/www.scientific.net/msf.918.159.
short: 'U. Diekmann, W. Homberg, J. Prehm, T. Rostek, N. Schönhoff, D. Tabakajew,
A. Trasca, H. Uysal, in: Materials Science Forum, Trans Tech Publications Ltd,
2018, pp. 159–164.'
date_created: 2021-03-11T16:26:48Z
date_updated: 2023-04-27T08:45:06Z
department:
- _id: '156'
doi: 10.4028/www.scientific.net/msf.918.159
intvolume: ' 918'
language:
- iso: eng
page: 159-164
publication: Materials Science Forum
publication_identifier:
issn:
- 1662-9752
publication_status: published
publisher: Trans Tech Publications Ltd
quality_controlled: '1'
status: public
title: Optimization of Tooling Design for Hot Mandrel Bending of Pipe Elbows
type: conference
user_id: '3469'
volume: 918
year: '2018'
...