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Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271)

Authors: Anne Auger, Tobias Glasmachers, Martin S. Krejca, Johannes Lengler, and Alexander Jungeilges

Published in: Dagstuhl Reports, Volume 14, Issue 6 (2024)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 24271 "Theory of Randomized Optimization Heuristics", which marks the twelfth installment of our biennial seminar series. This iteration saw a lot of discussion on important, yet rarely analyzed topics in the domain of heuristic optimization, such as mixed-integer problems, permutation spaces, and coevolution. Moreover, it aimed at unifying existing results by discussing mathematical tools (such as drift analysis), the structure of discrete problems, and a common framework for theoretical analysis and practical implementation. Last, more recent and important topics, such as constrained and multi-objective optimization, were a major part of the seminar. We had a vivid exchange in various breakout sessions and different talks, with a great mix of junior and senior participants, which was very positively received.

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Anne Auger, Tobias Glasmachers, Martin S. Krejca, Johannes Lengler, and Alexander Jungeilges. Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271). In Dagstuhl Reports, Volume 14, Issue 6, pp. 215-244, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{auger_et_al:DagRep.14.6.215,
  author =	{Auger, Anne and Glasmachers, Tobias and Krejca, Martin S. and Lengler, Johannes and Jungeilges, Alexander},
  title =	{{Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271)}},
  pages =	{215--244},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{6},
  editor =	{Auger, Anne and Glasmachers, Tobias and Krejca, Martin S. and Lengler, Johannes and Jungeilges, Alexander},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.6.215},
  URN =		{urn:nbn:de:0030-drops-227286},
  doi =		{10.4230/DagRep.14.6.215},
  annote =	{Keywords: Black-Box Optimization Heuristics, Evolution Strategies, Genetic and Evolutionary Algorithms, Runtime and Convergence Analysis, Stochastic Processes}
}

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Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271)

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