---
_id: '16034'
author:
- first_name: Alan Adam
full_name: Camberg, Alan Adam
id: '60544'
last_name: Camberg
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Camberg AA, Tröster T. Optimization-based material design of tailored stacked
hybrids for further improvement in lightweight car body structures. In: HYBRID
- MATERIALS AND STRUCTURES 2018 - PROCEEDINGS. DGM - Deutsche Gesellschaft
für Materialkunde e.V.; 2018.'
apa: 'Camberg, A. A., & Tröster, T. (2018). Optimization-based material design
of tailored stacked hybrids for further improvement in lightweight car body structures.
In HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS. Bremen: DGM -
Deutsche Gesellschaft für Materialkunde e.V.'
bibtex: '@inproceedings{Camberg_Tröster_2018, title={Optimization-based material
design of tailored stacked hybrids for further improvement in lightweight car
body structures}, booktitle={HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS},
publisher={DGM - Deutsche Gesellschaft für Materialkunde e.V.}, author={Camberg,
Alan Adam and Tröster, Thomas}, year={2018} }'
chicago: Camberg, Alan Adam, and Thomas Tröster. “Optimization-Based Material Design
of Tailored Stacked Hybrids for Further Improvement in Lightweight Car Body Structures.”
In HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS. DGM - Deutsche
Gesellschaft für Materialkunde e.V., 2018.
ieee: A. A. Camberg and T. Tröster, “Optimization-based material design of tailored
stacked hybrids for further improvement in lightweight car body structures,” in
HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS, Bremen, 2018.
mla: Camberg, Alan Adam, and Thomas Tröster. “Optimization-Based Material Design
of Tailored Stacked Hybrids for Further Improvement in Lightweight Car Body Structures.”
HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS, DGM - Deutsche Gesellschaft
für Materialkunde e.V., 2018.
short: 'A.A. Camberg, T. Tröster, in: HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS,
DGM - Deutsche Gesellschaft für Materialkunde e.V., 2018.'
conference:
end_date: 2018-04-19
location: Bremen
name: 3rd International Conference on Hybrid Materials and Structures
start_date: 2018-04-18
date_created: 2020-02-24T14:59:47Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
language:
- iso: eng
publication: HYBRID - MATERIALS AND STRUCTURES 2018 - PROCEEDINGS
publication_identifier:
isbn:
- 978-3-88355-417-4
publication_status: published
publisher: DGM - Deutsche Gesellschaft für Materialkunde e.V.
status: public
title: Optimization-based material design of tailored stacked hybrids for further
improvement in lightweight car body structures
type: conference
user_id: '60544'
year: '2018'
...
---
_id: '16293'
abstract:
- lang: eng
text: "Kernel transfer operators, which can be regarded as approximations of\r\ntransfer
operators such as the Perron-Frobenius or Koopman operator in\r\nreproducing kernel
Hilbert spaces, are defined in terms of covariance and\r\ncross-covariance operators
and have been shown to be closely related to the\r\nconditional mean embedding
framework developed by the machine learning\r\ncommunity. The goal of this paper
is to show how the dominant eigenfunctions of\r\nthese operators in combination
with gradient-based optimization techniques can\r\nbe used to detect long-lived
coherent patterns in high-dimensional time-series\r\ndata. The results will be
illustrated using video data and a fluid flow\r\nexample."
author:
- first_name: Stefan
full_name: Klus, Stefan
last_name: Klus
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: https://orcid.org/0000-0002-3389-793X
- first_name: Ingmar
full_name: Schuster, Ingmar
last_name: Schuster
citation:
ama: Klus S, Peitz S, Schuster I. Analyzing high-dimensional time-series data using
kernel transfer operator eigenfunctions. arXiv:180510118. 2018.
apa: Klus, S., Peitz, S., & Schuster, I. (2018). Analyzing high-dimensional
time-series data using kernel transfer operator eigenfunctions. ArXiv:1805.10118.
bibtex: '@article{Klus_Peitz_Schuster_2018, title={Analyzing high-dimensional time-series
data using kernel transfer operator eigenfunctions}, journal={arXiv:1805.10118},
author={Klus, Stefan and Peitz, Sebastian and Schuster, Ingmar}, year={2018} }'
chicago: Klus, Stefan, Sebastian Peitz, and Ingmar Schuster. “Analyzing High-Dimensional
Time-Series Data Using Kernel Transfer Operator Eigenfunctions.” ArXiv:1805.10118,
2018.
ieee: S. Klus, S. Peitz, and I. Schuster, “Analyzing high-dimensional time-series
data using kernel transfer operator eigenfunctions,” arXiv:1805.10118.
2018.
mla: Klus, Stefan, et al. “Analyzing High-Dimensional Time-Series Data Using Kernel
Transfer Operator Eigenfunctions.” ArXiv:1805.10118, 2018.
short: S. Klus, S. Peitz, I. Schuster, ArXiv:1805.10118 (2018).
date_created: 2020-03-13T12:44:12Z
date_updated: 2022-01-06T06:52:48Z
department:
- _id: '101'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/1805.10118.pdf
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: arXiv:1805.10118
status: public
title: Analyzing high-dimensional time-series data using kernel transfer operator
eigenfunctions
type: preprint
user_id: '47427'
year: '2018'
...
---
_id: '1369'
abstract:
- lang: eng
text: In budget games, players compete over resources with finite budgets. For every
resource, a player has a specific demand and as a strategy, he chooses a subset
of resources. If the total demand on a resource does not exceed its budget, the
utility of each player who chose that resource equals his demand. Otherwise, the
budget is shared proportionally. In the general case, pure Nash equilibria (NE)
do not exist for such games. In this paper, we consider the natural classes of
singleton and matroid budget games with additional constraints and show that for
each, pure NE can be guaranteed. In addition, we introduce a lexicographical potential
function to prove that every matroid budget game has an approximate pure NE which
depends on the largest ratio between the different demands of each individual
player.
author:
- first_name: Maximilian
full_name: Drees, Maximilian
last_name: Drees
- first_name: Matthias
full_name: Feldotto, Matthias
id: '14052'
last_name: Feldotto
orcid: 0000-0003-1348-6516
- first_name: Sören
full_name: Riechers, Sören
last_name: Riechers
- first_name: Alexander
full_name: Skopalik, Alexander
id: '40384'
last_name: Skopalik
citation:
ama: Drees M, Feldotto M, Riechers S, Skopalik A. Pure Nash equilibria in restricted
budget games. Journal of Combinatorial Optimization. 2018. doi:10.1007/s10878-018-0269-7
apa: Drees, M., Feldotto, M., Riechers, S., & Skopalik, A. (2018). Pure Nash
equilibria in restricted budget games. Journal of Combinatorial Optimization.
https://doi.org/10.1007/s10878-018-0269-7
bibtex: '@article{Drees_Feldotto_Riechers_Skopalik_2018, title={Pure Nash equilibria
in restricted budget games}, DOI={10.1007/s10878-018-0269-7},
journal={Journal of Combinatorial Optimization}, publisher={Springer Nature},
author={Drees, Maximilian and Feldotto, Matthias and Riechers, Sören and Skopalik,
Alexander}, year={2018} }'
chicago: Drees, Maximilian, Matthias Feldotto, Sören Riechers, and Alexander Skopalik.
“Pure Nash Equilibria in Restricted Budget Games.” Journal of Combinatorial
Optimization, 2018. https://doi.org/10.1007/s10878-018-0269-7.
ieee: M. Drees, M. Feldotto, S. Riechers, and A. Skopalik, “Pure Nash equilibria
in restricted budget games,” Journal of Combinatorial Optimization, 2018.
mla: Drees, Maximilian, et al. “Pure Nash Equilibria in Restricted Budget Games.”
Journal of Combinatorial Optimization, Springer Nature, 2018, doi:10.1007/s10878-018-0269-7.
short: M. Drees, M. Feldotto, S. Riechers, A. Skopalik, Journal of Combinatorial
Optimization (2018).
date_created: 2018-03-18T11:12:49Z
date_updated: 2022-01-06T06:51:42Z
ddc:
- '000'
department:
- _id: '63'
- _id: '541'
doi: 10.1007/s10878-018-0269-7
file:
- access_level: closed
content_type: application/pdf
creator: feldi
date_created: 2018-10-31T16:56:13Z
date_updated: 2018-10-31T16:56:13Z
file_id: '5225'
file_name: Drees2018_Article_PureNashEquilibriaInRestricted.pdf
file_size: 561187
relation: main_file
file_date_updated: 2018-10-31T16:56:13Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '7'
name: SFB 901 - Subproject A3
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: Journal of Combinatorial Optimization
publication_identifier:
issn:
- 1382-6905
- 1573-2886
publication_status: epub_ahead
publisher: Springer Nature
status: public
title: Pure Nash equilibria in restricted budget games
type: journal_article
user_id: '14052'
year: '2018'
...
---
_id: '8753'
abstract:
- lang: eng
text: In a wide range of applications it is desirable to optimally control a dynamical
system with respect to concurrent, potentially competing goals. This gives rise
to a multiobjective optimal control problem where, instead of computing a single
optimal solution, the set of optimal compromises, the so-called Pareto set, has
to be approximated. When the problem under consideration is described by a partial
differential equation (PDE), as is the case for fluid flow, the computational
cost rapidly increases and makes its direct treatment infeasible. Reduced order
modeling is a very popular method to reduce the computational cost, in particular
in a multi query context such as uncertainty quantification, parameter estimation
or optimization. In this article, we show how to combine reduced order modeling
and multiobjective optimal control techniques in order to efficiently solve multiobjective
optimal control problems constrained by PDEs. We consider a global, derivative
free optimization method as well as a local, gradient-based approach for which
the optimality system is derived in two different ways. The methods are compared
with regard to the solution quality as well as the computational effort and they
are illustrated using the example of the flow around a cylinder and a backward-facing-step
channel flow.
author:
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: https://orcid.org/0000-0002-3389-793X
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
citation:
ama: Peitz S, Ober-Blöbaum S, Dellnitz M. Multiobjective Optimal Control Methods
for the Navier-Stokes Equations Using Reduced Order Modeling. Acta Applicandae
Mathematicae. 2018;161(1):171–199. doi:10.1007/s10440-018-0209-7
apa: Peitz, S., Ober-Blöbaum, S., & Dellnitz, M. (2018). Multiobjective Optimal
Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.
Acta Applicandae Mathematicae, 161(1), 171–199. https://doi.org/10.1007/s10440-018-0209-7
bibtex: '@article{Peitz_Ober-Blöbaum_Dellnitz_2018, title={Multiobjective Optimal
Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling},
volume={161}, DOI={10.1007/s10440-018-0209-7},
number={1}, journal={Acta Applicandae Mathematicae}, author={Peitz, Sebastian
and Ober-Blöbaum, Sina and Dellnitz, Michael}, year={2018}, pages={171–199} }'
chicago: 'Peitz, Sebastian, Sina Ober-Blöbaum, and Michael Dellnitz. “Multiobjective
Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.”
Acta Applicandae Mathematicae 161, no. 1 (2018): 171–199. https://doi.org/10.1007/s10440-018-0209-7.'
ieee: 'S. Peitz, S. Ober-Blöbaum, and M. Dellnitz, “Multiobjective Optimal Control
Methods for the Navier-Stokes Equations Using Reduced Order Modeling,” Acta
Applicandae Mathematicae, vol. 161, no. 1, pp. 171–199, 2018, doi: 10.1007/s10440-018-0209-7.'
mla: Peitz, Sebastian, et al. “Multiobjective Optimal Control Methods for the Navier-Stokes
Equations Using Reduced Order Modeling.” Acta Applicandae Mathematicae,
vol. 161, no. 1, 2018, pp. 171–199, doi:10.1007/s10440-018-0209-7.
short: S. Peitz, S. Ober-Blöbaum, M. Dellnitz, Acta Applicandae Mathematicae 161
(2018) 171–199.
date_created: 2019-03-29T13:30:41Z
date_updated: 2022-01-21T10:01:41Z
department:
- _id: '101'
doi: 10.1007/s10440-018-0209-7
intvolume: ' 161'
issue: '1'
language:
- iso: eng
page: 171–199
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Acta Applicandae Mathematicae
publication_identifier:
issn:
- 0167-8019
- 1572-9036
publication_status: published
status: public
title: Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using
Reduced Order Modeling
type: journal_article
user_id: '15694'
volume: 161
year: '2018'
...
---
_id: '27027'
article_number: '582'
author:
- first_name: Judith
full_name: Bühlmeier, Judith
id: '89838'
last_name: Bühlmeier
- first_name: Carla
full_name: Harris, Carla
last_name: Harris
- first_name: Sibylle
full_name: Koletzko, Sibylle
last_name: Koletzko
- first_name: Irina
full_name: Lehmann, Irina
last_name: Lehmann
- first_name: Carl-Peter
full_name: Bauer, Carl-Peter
last_name: Bauer
- first_name: Tamara
full_name: Schikowski, Tamara
last_name: Schikowski
- first_name: Andrea
full_name: von Berg, Andrea
last_name: von Berg
- first_name: Dietrich
full_name: Berdel, Dietrich
last_name: Berdel
- first_name: Joachim
full_name: Heinrich, Joachim
last_name: Heinrich
- first_name: Johannes
full_name: Hebebrand, Johannes
last_name: Hebebrand
- first_name: Manuel
full_name: Föcker, Manuel
last_name: Föcker
- first_name: Marie
full_name: Standl, Marie
last_name: Standl
- first_name: Lars
full_name: Libuda, Lars
id: '88682'
last_name: Libuda
orcid: 0000-0003-1603-3133
citation:
ama: 'Bühlmeier J, Harris C, Koletzko S, et al. Dietary Acid Load and Mental Health
Outcomes in Children and Adolescents: Results from the GINIplus and LISA Birth
Cohort Studies. Nutrients. Published online 2018. doi:10.3390/nu10050582'
apa: 'Bühlmeier, J., Harris, C., Koletzko, S., Lehmann, I., Bauer, C.-P., Schikowski,
T., von Berg, A., Berdel, D., Heinrich, J., Hebebrand, J., Föcker, M., Standl,
M., & Libuda, L. (2018). Dietary Acid Load and Mental Health Outcomes in Children
and Adolescents: Results from the GINIplus and LISA Birth Cohort Studies. Nutrients,
Article 582. https://doi.org/10.3390/nu10050582'
bibtex: '@article{Bühlmeier_Harris_Koletzko_Lehmann_Bauer_Schikowski_von Berg_Berdel_Heinrich_Hebebrand_et
al._2018, title={Dietary Acid Load and Mental Health Outcomes in Children and
Adolescents: Results from the GINIplus and LISA Birth Cohort Studies}, DOI={10.3390/nu10050582}, number={582},
journal={Nutrients}, author={Bühlmeier, Judith and Harris, Carla and Koletzko,
Sibylle and Lehmann, Irina and Bauer, Carl-Peter and Schikowski, Tamara and von
Berg, Andrea and Berdel, Dietrich and Heinrich, Joachim and Hebebrand, Johannes
and et al.}, year={2018} }'
chicago: 'Bühlmeier, Judith, Carla Harris, Sibylle Koletzko, Irina Lehmann, Carl-Peter
Bauer, Tamara Schikowski, Andrea von Berg, et al. “Dietary Acid Load and Mental
Health Outcomes in Children and Adolescents: Results from the GINIplus and LISA
Birth Cohort Studies.” Nutrients, 2018. https://doi.org/10.3390/nu10050582.'
ieee: 'J. Bühlmeier et al., “Dietary Acid Load and Mental Health Outcomes
in Children and Adolescents: Results from the GINIplus and LISA Birth Cohort Studies,”
Nutrients, Art. no. 582, 2018, doi: 10.3390/nu10050582.'
mla: 'Bühlmeier, Judith, et al. “Dietary Acid Load and Mental Health Outcomes in
Children and Adolescents: Results from the GINIplus and LISA Birth Cohort Studies.”
Nutrients, 582, 2018, doi:10.3390/nu10050582.'
short: J. Bühlmeier, C. Harris, S. Koletzko, I. Lehmann, C.-P. Bauer, T. Schikowski,
A. von Berg, D. Berdel, J. Heinrich, J. Hebebrand, M. Föcker, M. Standl, L. Libuda,
Nutrients (2018).
date_created: 2021-11-01T19:29:28Z
date_updated: 2022-09-15T09:50:24Z
department:
- _id: '35'
- _id: '22'
- _id: '395'
doi: 10.3390/nu10050582
extern: '1'
language:
- iso: eng
publication: Nutrients
publication_identifier:
issn:
- 2072-6643
publication_status: published
status: public
title: 'Dietary Acid Load and Mental Health Outcomes in Children and Adolescents:
Results from the GINIplus and LISA Birth Cohort Studies'
type: journal_article
user_id: '89838'
year: '2018'
...
---
_id: '5831'
abstract:
- lang: eng
text: Many websites offer links to social media sites for convenient content sharing.
Unfortunately, those sharing capabilities are quite restricted and it is seldom
possible to share content with other services, like those provided by a user's
favorite applications or smart devices. In this paper, we present Semantic Data
Mediator (SDM) --- a flexible middleware linking a vast number of services to
millions of websites. Based on reusable repositories of service descriptions defined
by the crowd, users can easily fill a personal registry with their favorite services,
which can then be linked to websites by SDM. For this, SDM leverages semantic
data, which is already available on millions of websites due to search engine
optimization. Further support for our approach from website or service developers
is not required. To enable the use of a broad range of services, data conversion
services are automatically composed by SDM to transform data according to the
needs of the different services. In addition to linking web services, various
service adapters allow services of applications and smart devices to be linked
as well. We have fully implemented our approach and present a real-world case
study demonstrating its feasibility and usefulness.
author:
- first_name: Dennis
full_name: Wolters, Dennis
id: '11308'
last_name: Wolters
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Wolters D, Heindorf S, Kirchhoff J, Engels G. Semantic Data Mediator: Linking
Services to Websites. In: Braubach L, Murillo JM, Kaviani N, et al., eds. Service-Oriented
Computing -- ICSOC 2017 Workshops. Springer International Publishing; 2018:388-392.
doi:10.1007/978-3-319-91764-1_36'
apa: 'Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2018). Semantic
Data Mediator: Linking Services to Websites. In L. Braubach, J. M. Murillo, N.
Kaviani, M. Lama, L. Burgueño, N. Moha, & M. Oriol (Eds.), Service-Oriented
Computing -- ICSOC 2017 Workshops (pp. 388–392). Springer International Publishing.
https://doi.org/10.1007/978-3-319-91764-1_36'
bibtex: '@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2018, place={Cham}, title={Semantic
Data Mediator: Linking Services to Websites}, DOI={10.1007/978-3-319-91764-1_36},
booktitle={Service-Oriented Computing -- ICSOC 2017 Workshops}, publisher={Springer
International Publishing}, author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff,
Jonas and Engels, Gregor}, editor={Braubach, Lars and Murillo, Juan M. and Kaviani,
Nima and Lama, Manuel and Burgueño, Loli and Moha, Naouel and Oriol, Marc}, year={2018},
pages={388–392} }'
chicago: 'Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels.
“Semantic Data Mediator: Linking Services to Websites.” In Service-Oriented
Computing -- ICSOC 2017 Workshops, edited by Lars Braubach, Juan M. Murillo,
Nima Kaviani, Manuel Lama, Loli Burgueño, Naouel Moha, and Marc Oriol, 388–92.
Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-91764-1_36.'
ieee: 'D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Semantic Data Mediator:
Linking Services to Websites,” in Service-Oriented Computing -- ICSOC 2017
Workshops, 2018, pp. 388–392, doi: 10.1007/978-3-319-91764-1_36.'
mla: 'Wolters, Dennis, et al. “Semantic Data Mediator: Linking Services to Websites.”
Service-Oriented Computing -- ICSOC 2017 Workshops, edited by Lars Braubach
et al., Springer International Publishing, 2018, pp. 388–92, doi:10.1007/978-3-319-91764-1_36.'
short: 'D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: L. Braubach, J.M.
Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, M. Oriol (Eds.), Service-Oriented
Computing -- ICSOC 2017 Workshops, Springer International Publishing, Cham, 2018,
pp. 388–392.'
date_created: 2018-11-26T11:52:59Z
date_updated: 2022-10-15T20:00:17Z
department:
- _id: '66'
doi: 10.1007/978-3-319-91764-1_36
editor:
- first_name: Lars
full_name: Braubach, Lars
last_name: Braubach
- first_name: Juan M.
full_name: Murillo, Juan M.
last_name: Murillo
- first_name: Nima
full_name: Kaviani, Nima
last_name: Kaviani
- first_name: Manuel
full_name: Lama, Manuel
last_name: Lama
- first_name: Loli
full_name: Burgueño, Loli
last_name: Burgueño
- first_name: Naouel
full_name: Moha, Naouel
last_name: Moha
- first_name: Marc
full_name: Oriol, Marc
last_name: Oriol
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/wolters2017_ICSOC_demo.pdf
oa: '1'
page: 388-392
place: Cham
publication: Service-Oriented Computing -- ICSOC 2017 Workshops
publication_identifier:
isbn:
- 978-3-319-91764-1
publisher: Springer International Publishing
status: public
title: 'Semantic Data Mediator: Linking Services to Websites'
type: conference
user_id: '11871'
year: '2018'
...
---
_id: '36411'
author:
- first_name: Rieke
full_name: Becker, Rieke
id: '33229'
last_name: Becker
- first_name: Michael
full_name: Heidgen, Michael
last_name: Heidgen
- first_name: Markus
full_name: Lauert, Markus
id: '33619'
last_name: Lauert
- first_name: Verena
full_name: Witschel, Verena
last_name: Witschel
citation:
ama: 'Becker R, Heidgen M, Lauert M, Witschel V. Tagungsbericht: Kulturen der
Moral – Moral Cultures. Internationale und interdisziplinäre Tagung in Kooperation
mit der DGEJ vom 19. bis 22. September 2018 an der Universität Paderborn.;
2018.'
apa: 'Becker, R., Heidgen, M., Lauert, M., & Witschel, V. (2018). Tagungsbericht:
Kulturen der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung
in Kooperation mit der DGEJ vom 19. bis 22. September 2018 an der Universität
Paderborn.'
bibtex: '@book{Becker_Heidgen_Lauert_Witschel_2018, series={H-Net}, title={Tagungsbericht:
Kulturen der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung
in Kooperation mit der DGEJ vom 19. bis 22. September 2018 an der Universität
Paderborn.}, author={Becker, Rieke and Heidgen, Michael and Lauert, Markus and
Witschel, Verena}, year={2018}, collection={H-Net} }'
chicago: 'Becker, Rieke, Michael Heidgen, Markus Lauert, and Verena Witschel. Tagungsbericht:
Kulturen der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung
in Kooperation mit der DGEJ vom 19. bis 22. September 2018 an der Universität
Paderborn. H-Net, 2018.'
ieee: 'R. Becker, M. Heidgen, M. Lauert, and V. Witschel, Tagungsbericht: Kulturen
der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung in Kooperation
mit der DGEJ vom 19. bis 22. September 2018 an der Universität Paderborn.
2018.'
mla: 'Becker, Rieke, et al. Tagungsbericht: Kulturen der Moral – Moral Cultures.
Internationale und interdisziplinäre Tagung in Kooperation mit der DGEJ vom 19.
bis 22. September 2018 an der Universität Paderborn. 2018.'
short: 'R. Becker, M. Heidgen, M. Lauert, V. Witschel, Tagungsbericht: Kulturen
der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung in Kooperation
mit der DGEJ vom 19. bis 22. September 2018 an der Universität Paderborn., 2018.'
date_created: 2023-01-12T11:42:01Z
date_updated: 2023-01-12T13:53:03Z
department:
- _id: '446'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://networks.h-net.org/node/79435/discussions/3144255/tagb-kulturen-der-moral-moral-cultures-19-220918-paderborn
oa: '1'
publication_status: published
series_title: H-Net
status: public
title: 'Tagungsbericht: Kulturen der Moral – Moral Cultures. Internationale und interdisziplinäre
Tagung in Kooperation mit der DGEJ vom 19. bis 22. September 2018 an der Universität
Paderborn.'
type: report
user_id: '33229'
year: '2018'
...
---
_id: '46350'
abstract:
- lang: eng
text: 'The ubiquity of WiFi access points and the sharp increase in WiFi-enabled
devices carried by humans have paved the way for WiFi-based indoor positioning
and location analysis. Locating people in indoor environments has numerous applications
in robotics, crowd control, indoor facility optimization, and automated environment
mapping. However, existing WiFi-based positioning systems suffer from two major
problems: (1) their accuracy and precision is limited due to inherent noise induced
by indoor obstacles, and (2) they only occasionally provide location estimates,
namely when a WiFi-equipped device emits a signal. To mitigate these two issues,
we propose a novel Gaussian process (GP) model for WiFi signal strength measurements.
It allows for simultaneous smoothing (increasing accuracy and precision of estimators)
and interpolation (enabling continuous sampling of location estimates). Furthermore,
simple and efficient smoothing methods for location estimates are introduced to
improve localization performance in real-time settings. Experiments are conducted
on two data sets from a large real-world commercial indoor retail environment.
Results demonstrate that our approach provides significant improvements in terms
of precision and accuracy with respect to unfiltered data. Ultimately, the GP
model realizes continuous location sampling with consistently high quality location
estimates.'
author:
- first_name: J.E.
full_name: van Engelen, J.E.
last_name: van Engelen
- first_name: J.J.
full_name: van Lier, J.J.
last_name: van Lier
- first_name: F.W.
full_name: Takes, F.W.
last_name: Takes
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'van Engelen JE, van Lier JJ, Takes FW, Trautmann H. Accurate WiFi based indoor
positioning with continuous location sampling. In: Proceedings of the European
Conference on Machine Learning and Principles and Practice of Knowledge Discovery
in Database (ECML/PKDD). Springer; 2018:524–540.'
apa: van Engelen, J. E., van Lier, J. J., Takes, F. W., & Trautmann, H. (2018).
Accurate WiFi based indoor positioning with continuous location sampling. Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 524–540.
bibtex: '@inproceedings{van Engelen_van Lier_Takes_Trautmann_2018, place={Dublin,
Ireland}, title={Accurate WiFi based indoor positioning with continuous location
sampling}, booktitle={Proceedings of the European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD)}, publisher={Springer},
author={van Engelen, J.E. and van Lier, J.J. and Takes, F.W. and Trautmann, Heike},
year={2018}, pages={524–540} }'
chicago: 'Engelen, J.E. van, J.J. van Lier, F.W. Takes, and Heike Trautmann. “Accurate
WiFi Based Indoor Positioning with Continuous Location Sampling.” In Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 524–540. Dublin, Ireland: Springer,
2018.'
ieee: J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate
WiFi based indoor positioning with continuous location sampling,” in Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 2018, pp. 524–540.
mla: van Engelen, J. E., et al. “Accurate WiFi Based Indoor Positioning with Continuous
Location Sampling.” Proceedings of the European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD),
Springer, 2018, pp. 524–540.
short: 'J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018,
pp. 524–540.'
date_created: 2023-08-04T07:54:43Z
date_updated: 2023-10-16T13:33:18Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 524–540
place: Dublin, Ireland
publication: Proceedings of the European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Database (ECML/PKDD)
publisher: Springer
status: public
title: Accurate WiFi based indoor positioning with continuous location sampling
type: conference
user_id: '15504'
year: '2018'
...
---
_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'
...