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Distributed Genetic Algorithm: Learning by Direct Exchange of Chromosomes

  • Aleš Kubík
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2801)

Abstract

Genetic algorithms is a technique widely used to evolve controllers of agents or robots in dynamic environments. In this paper we describe a modification to a single-robot-based evolution of a controller – a distributed parallel genetic algorithm where the pool of chromosomes is dispersed over a multi-robot society. Robots share their experience in solving the task by direct exchange of individually evolved successful strategies coded by chromosomes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Aleš Kubík
    • 1
  1. 1.Institute of Computer ScienceSilesian UniversityOpavaCzech Republic

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