Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182)

Authors Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, Vicente P. Soloviev and all authors of the abstracts in this report



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Author Details

Josu Ceberio Uribe
  • University of the Basque Country - Donostia, ES
Benjamin Doerr
  • Ecole Polytechnique - Palaiseau, FR
Carsten Witt
  • Technical University of Denmark - Lyngby, DK
Vicente P. Soloviev
  • Polytechnic University of Madrid, ES
and all authors of the abstracts in this report

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Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, and Vicente P. Soloviev. Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). In Dagstuhl Reports, Volume 12, Issue 5, pp. 17-36, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DagRep.12.5.17

Abstract

The Dagstuhl seminar 22182 Estimation-of-Distribution Algorithms: Theory and Practice on May 2-6, 2022 brought together 19 international experts in estimation-of-distribution algorithms (EDAs). Their research ranged from a theoretical perspective, e.g., runtime analysis on synthetic problems, to an applied perspective, e.g., solutions of industrial optimization problems with EDAs. This report documents the program and the outcomes of the seminar.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Search methodologies
  • Theory of computation → Design and analysis of algorithms
Keywords
  • estimation-of-distribution algorithms
  • heuristic search and optimization
  • machine learning
  • probabilistic model building

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