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Documents authored by Auger, Anne

Document
DOI: 10.4230/DagRep.13.6.55
Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251)

Authors: Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, and Lennart Schäpermeier

Published in: Dagstuhl Reports, Volume 13, Issue 6 (2024)

Abstract
This report documents the program and outcomes of the Dagstuhl Seminar 23251 "Challenges in Benchmarking Optimization Heuristics". In the domain of optimization heuristics, a stable basis for fairly evaluating the performance of optimization algorithms and other solution approaches - commonly referred to as "benchmarking" - is fundamental to ensuring steady scientific progress. Although many pitfalls are well known in the community, the development of sound benchmarking protocols is slow, and the adoption of community-wide recognized and implementable standards requires lasting and joint efforts among research groups. This seminar brought together people from diverse backgrounds and fostered discussions among different optimization communities, focusing on how to cope with "horse racing papers", landscape analysis techniques for understanding problem instances, and discussions about the overarching goals of benchmarking.
Cite as

Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, and Lennart Schäpermeier. Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). In Dagstuhl Reports, Volume 13, Issue 6, pp. 55-80, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{auger_et_al:DagRep.13.6.55,
  author =	{Auger, Anne and Bosman, Peter A. N. and Kerschke, Pascal and Whitley, Darrell and Sch\"{a}permeier, Lennart},
  title =	{{Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251)}},
  pages =	{55--80},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{6},
  editor =	{Auger, Anne and Bosman, Peter A. N. and Kerschke, Pascal and Whitley, Darrell and Sch\"{a}permeier, Lennart},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.13.6.55},
  URN =		{urn:nbn:de:0030-drops-196383},
  doi =		{10.4230/DagRep.13.6.55},
  annote =	{Keywords: benchmarking, design of search heuristics, optimization, real-world applications, understanding problem complexity}
}
Document
DOI: 10.4230/DagRep.12.2.87
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081)

Authors: Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler, and Armand Gissler

Published in: Dagstuhl Reports, Volume 12, Issue 2 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22081 "Theory of Randomized Optimization Heuristics". This seminar is part of a biennial seminar series. This year, we focused on connections between classical topics of the community, such as Evolutionary Algorithms and Strategies (EA, ES), Estimation-of-Distribution Algorithms (EDA) and Evolutionary Multi-Objective Optimization (EMO), and related fields like Stochastic Gradient Descent (SGD) and Bayesian Optimization (BO). The mixture proved to be extremely successful. Already the first talk turned into a two hour long, vivid and productive plenary discussion. The seminar was smaller than previous versions (due to corona regulations), but its intensity more than made up for the smaller size.
Cite as

Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler, and Armand Gissler. Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081). In Dagstuhl Reports, Volume 12, Issue 2, pp. 87-102, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{auger_et_al:DagRep.12.2.87,
  author =	{Auger, Anne and Fonseca, Carlos M. and Friedrich, Tobias and Lengler, Johannes and Gissler, Armand},
  title =	{{Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081)}},
  pages =	{87--102},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{2},
  editor =	{Auger, Anne and Fonseca, Carlos M. and Friedrich, Tobias and Lengler, Johannes and Gissler, Armand},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.2.87},
  URN =		{urn:nbn:de:0030-drops-169325},
  doi =		{10.4230/DagRep.12.2.87},
  annote =	{Keywords: black-box optimization, derivative-free optimization, evolutionary and genetic algorithms, randomized search algorithms, stochastic gradient descent, theoretical computer science}
}
Document
DOI: 10.4230/DagSemProc.10361.1
10361 Abstracts Collection and Executive Summary – Theory of Evolutionary Algorithms

Authors: Anne Auger, Jonathan L. Shapiro, L. Darrell Whitley, and Carsten Witt

Published in: Dagstuhl Seminar Proceedings, Volume 10361, Theory of Evolutionary Algorithms (2010)

Abstract
From September 5 to 10, the Dagstuhl Seminar 10361 ``Theory of Evolutionary Algorithms '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general.
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Anne Auger, Jonathan L. Shapiro, L. Darrell Whitley, and Carsten Witt. 10361 Abstracts Collection and Executive Summary – Theory of Evolutionary Algorithms. In Theory of Evolutionary Algorithms. Dagstuhl Seminar Proceedings, Volume 10361, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{auger_et_al:DagSemProc.10361.1,
  author =	{Auger, Anne and Shapiro, Jonathan L. and Whitley, L. Darrell and Witt, Carsten},
  title =	{{10361 Abstracts Collection and Executive Summary – Theory of Evolutionary Algorithms}},
  booktitle =	{Theory of Evolutionary Algorithms},
  pages =	{1--19},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10361},
  editor =	{Anne Auger and Jonathan L. Shapiro and L. Darrell Whitley and Carsten Witt},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10361.1},
  URN =		{urn:nbn:de:0030-drops-28180},
  doi =		{10.4230/DagSemProc.10361.1},
  annote =	{Keywords: Evolutionary algorithms, bio-inspired search heuristics, theoretical analysis, optimization time}
}
Document
DOI: 10.4230/DagSemProc.08051.1
08051 Abstracts Collection – Theory of Evolutionary Algorithms

Authors: Dirk V. Arnold, Anne Auger, Carsten Witt, and Jonathan E. Rowe

Published in: Dagstuhl Seminar Proceedings, Volume 8051, Theory of Evolutionary Algorithms (2008)

Abstract
From Jan. 27, 2008 to Feb. 1, 2008, the Dagstuhl Seminar 08051 ``Theory of Evolutionary Algorithms'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Dirk V. Arnold, Anne Auger, Carsten Witt, and Jonathan E. Rowe. 08051 Abstracts Collection – Theory of Evolutionary Algorithms. In Theory of Evolutionary Algorithms. Dagstuhl Seminar Proceedings, Volume 8051, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{arnold_et_al:DagSemProc.08051.1,
  author =	{Arnold, Dirk V. and Auger, Anne and Witt, Carsten and Rowe, Jonathan E.},
  title =	{{08051 Abstracts Collection – Theory of Evolutionary Algorithms}},
  booktitle =	{Theory of Evolutionary Algorithms},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8051},
  editor =	{Dirk V. Arnold and Anne Auger and Jonathan E. Rowe and Carsten Witt},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08051.1},
  URN =		{urn:nbn:de:0030-drops-15242},
  doi =		{10.4230/DagSemProc.08051.1},
  annote =	{Keywords: Evolutionary Computation, Theory of Evolutionary Algorithms}
}
Document
DOI: 10.4230/DagSemProc.08051.2
08051 Executive Summary – Theory of Evolutionary Algorithms

Authors: Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, and Carsten Witt

Published in: Dagstuhl Seminar Proceedings, Volume 8051, Theory of Evolutionary Algorithms (2008)

Abstract
The 2008 Dagstuhl Seminar "Theory of Evolutionary Algorithms" was the fifth in a firmly established series of biannual events. In the week from Jan. 27, 2008 to Feb. 1, 2008, 47 researchers from nine countries discussed their recent work and trends in evolutionary computation.
Cite as

Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, and Carsten Witt. 08051 Executive Summary – Theory of Evolutionary Algorithms. In Theory of Evolutionary Algorithms. Dagstuhl Seminar Proceedings, Volume 8051, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{arnold_et_al:DagSemProc.08051.2,
  author =	{Arnold, Dirk V. and Auger, Anne and Rowe, Jonathan E. and Witt, Carsten},
  title =	{{08051 Executive Summary – Theory of Evolutionary Algorithms}},
  booktitle =	{Theory of Evolutionary Algorithms},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8051},
  editor =	{Dirk V. Arnold and Anne Auger and Jonathan E. Rowe and Carsten Witt},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08051.2},
  URN =		{urn:nbn:de:0030-drops-14812},
  doi =		{10.4230/DagSemProc.08051.2},
  annote =	{Keywords: Evolutionary Algorithms, Theory of Evolutionary Algorithms}
}
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