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Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081)

Authors Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler, Armand Gissler and all authors of the abstracts in this report

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Subject Classification

ACM Subject Classification
  • Theory of computation → Bio-inspired optimization
  • Theory of computation → Evolutionary algorithms
  • Theory of computation → Theory of randomized search heuristics
Keywords
  • black-box optimization
  • derivative-free optimization
  • evolutionary and genetic algorithms
  • randomized search algorithms
  • stochastic gradient descent
  • theoretical computer science

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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.

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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) https://doi.org/10.4230/DagRep.12.2.87

Author Details

Anne Auger
  • INRIA Saclay – Palaiseau, FR
Carlos M. Fonseca
  • University of Coimbra, PT
Tobias Friedrich
  • Hasso-Plattner-Institut, Universität Potsdam, DE
Johannes Lengler
  • ETH Zürich, CH
Armand Gissler
  • Ecole Polytechnique - Palaiseau, FR
and all authors of the abstracts in this report
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