On-line parameter optimization strategies for metaheuristics

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Abstract

In this paper we describe different aspects of parameter tuning strategies for meta-heuristic algorithms. In contrast to many automated parameter adjustment methods in the field, special attention is given to parameter tuning strategies which are able to be applied during the run of a meta-heuristics. The basic idea we are using for this approach steams from self adaptive evolution strategies and this paper discusses different adaptations to this idea in order to find out, to which extent this concept can be transformed to other meta-heuristics.

Original languageEnglish
Title of host publication22th European Modeling and Simulation Symposium, EMSS 2010
Pages31-36
Number of pages6
Publication statusPublished - 2010
Event22th European Modeling and Simulation Symposium, EMSS 2010 - Fes, Morocco
Duration: 13 Oct 201015 Oct 2010

Publication series

Name22th European Modeling and Simulation Symposium, EMSS 2010

Conference

Conference22th European Modeling and Simulation Symposium, EMSS 2010
CountryMorocco
CityFes
Period13.10.201015.10.2010

Keywords

  • Evolutionary algorithms
  • Meta-heuristic optimization
  • Parameter tuning

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