Theoretical analysis of simple evolution strategies in quickly changing environments

  • Authors:
  • Jürgen Branke;Wei Wang

  • Affiliations:
  • Institute AIFB, University of Karlsruhe, Karlsruhe, Germany;Department of Education Technologies, Nanjing University of Posts and Telecommunications, Nanjing, China

  • Venue:
  • GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
  • Year:
  • 2003

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Abstract

Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only between generations. In this paper, we take a first look at possibilities to handle a change during a generation. For that purpose, we derive an analytical model for a (1, 2) evolution strategy and show that sometimes it is better to ignore the environmental change until the end of the generation, than to evaluate each individual with the most up-to-date fitness function.