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The Parallel Genetic Cellular Automata: Application to Global Function Optimization

  • Marco Tomassini

Abstract

This work describes massively parallel genetic algorithms inspired by cellular automata models and by large, spatially distributed populations of individuals, as suggested by biological analogies. Models with strict locality and a variety of pseudo-diffusion models are presented. The models are applied to the the global optimization problem of multiextremal multimodal functions. They are tested on a suite of hard standard test functions. Results are then discussed for the various models taking into account the unusual population sizes, their diversity and the role of individual’s migration.

Keywords

Genetic Algorithm Cellular Automaton Cellular Automaton Cellular Automaton Model Parallel Genetic Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1993

Authors and Affiliations

  • Marco Tomassini
    • 1
  1. 1.Centro Svizzero di Calcolo ScientificoMannoSwitzerland

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