---
_id: '48868'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Bossek J, Neumann A, Neumann F. Evolutionary Diversity Optimization for Combinatorial
Optimization: Tutorial at GECCO’22, Boston, USA. In: Proceedings of the Genetic
and Evolutionary Computation Conference Companion. GECCO’22. Association for
Computing Machinery; 2022:824–842. doi:10.1145/3520304.3533626'
apa: 'Bossek, J., Neumann, A., & Neumann, F. (2022). Evolutionary Diversity
Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
824–842. https://doi.org/10.1145/3520304.3533626'
bibtex: '@inproceedings{Bossek_Neumann_Neumann_2022, place={New York, NY, USA},
series={GECCO’22}, title={Evolutionary Diversity Optimization for Combinatorial
Optimization: Tutorial at GECCO’22, Boston, USA}, DOI={10.1145/3520304.3533626},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob
and Neumann, Aneta and Neumann, Frank}, year={2022}, pages={824–842}, collection={GECCO’22}
}'
chicago: 'Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Evolutionary Diversity
Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.”
In Proceedings of the Genetic and Evolutionary Computation Conference Companion,
824–842. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022.
https://doi.org/10.1145/3520304.3533626.'
ieee: 'J. Bossek, A. Neumann, and F. Neumann, “Evolutionary Diversity Optimization
for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA,” in Proceedings
of the Genetic and Evolutionary Computation Conference Companion, 2022, pp.
824–842, doi: 10.1145/3520304.3533626.'
mla: 'Bossek, Jakob, et al. “Evolutionary Diversity Optimization for Combinatorial
Optimization: Tutorial at GECCO’22, Boston, USA.” Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing
Machinery, 2022, pp. 824–842, doi:10.1145/3520304.3533626.'
short: 'J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary
Computation Conference Companion, Association for Computing Machinery, New York,
NY, USA, 2022, pp. 824–842.'
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:46:19Z
department:
- _id: '819'
doi: 10.1145/3520304.3533626
extern: '1'
language:
- iso: eng
page: 824–842
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-9268-6
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO’22
status: public
title: 'Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial
at GECCO’22, Boston, USA'
type: conference
user_id: '102979'
year: '2022'
...
---
_id: '48896'
abstract:
- lang: eng
text: Hardness of Multi-Objective (MO) continuous optimization problems results
from an interplay of various problem characteristics, e. g. the degree of multi-modality.
We present a benchmark study of classical and diversity focused optimizers on
multi-modal MO problems based on automated algorithm configuration. We show the
large effect of the latter and investigate the trade-off between convergence in
objective space and diversity in decision space.
author:
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm
Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. GECCO’22.
Association for Computing Machinery; 2022:356–359. doi:10.1145/3520304.3528998'
apa: Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential
of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization
Problems. Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 356–359. https://doi.org/10.1145/3520304.3528998
bibtex: '@inproceedings{Rook_Trautmann_Bossek_Grimme_2022, place={New York, NY,
USA}, series={GECCO’22}, title={On the Potential of Automated Algorithm Configuration
on Multi-Modal Multi-Objective Optimization Problems}, DOI={10.1145/3520304.3528998},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Rook, Jeroen
and Trautmann, Heike and Bossek, Jakob and Grimme, Christian}, year={2022}, pages={356–359},
collection={GECCO’22} }'
chicago: 'Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On
the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 356–359. GECCO’22. New York, NY, USA: Association for
Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.'
ieee: 'J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,”
in Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022, pp. 356–359, doi: 10.1145/3520304.3528998.'
mla: Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration
on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing
Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
short: 'J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing Machinery,
New York, NY, USA, 2022, pp. 356–359.'
date_created: 2023-11-14T15:59:00Z
date_updated: 2023-12-13T10:50:24Z
department:
- _id: '819'
doi: 10.1145/3520304.3528998
extern: '1'
keyword:
- configuration
- multi-modality
- multi-objective optimization
language:
- iso: eng
page: 356–359
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-9268-6
publisher: Association for Computing Machinery
series_title: GECCO’22
status: public
title: On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimization Problems
type: conference
user_id: '102979'
year: '2022'
...