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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.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}
}
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