Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431)

Authors Carola Doerr, Carlos M. Fonseca, Tobias Friedrich, Xin Yao and all authors of the abstracts in this report



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Carola Doerr
Carlos M. Fonseca
Tobias Friedrich
Xin Yao
and all authors of the abstracts in this report

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Carola Doerr, Carlos M. Fonseca, Tobias Friedrich, and Xin Yao. Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431). In Dagstuhl Reports, Volume 9, Issue 10, pp. 61-94, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/DagRep.9.10.61

Abstract

This report documents the activities of Dagstuhl Seminar 19431 on Theory of Randomized Optimization Heuristics. 46 researchers from Europe, Australia, Asia, and North America have come together to discuss ongoing research. This tenth edition of the seminar series had three focus topics: (1) relation between optimal control and heuristic optimization, (2) benchmarking optimization heuristics, and (3) the interfaces between continuous and discrete optimization. Several breakout sessions have provided ample opportunity to brainstorm on recent developments in the research landscape, to discuss and solve open problems, and to kick-start new research initiatives.
Keywords
  • algorithms and complexity
  • evolutionary algorithms
  • machine learning
  • optimization
  • soft computing

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