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Towards computing the parameters of the simple genetic algorithm

Publiceringsår: 2001
Språk: Engelska
Sidor: 516-520
Publikation/Tidskrift/Serie: Proceedings of the 2001 Congress on Evolutionary Computation
Volym: 1
Dokumenttyp: Konferensbidrag
Förlag: IEEE


The problem of finding appropriate probabilities for crossover and mutation with respect to resampling may be addressed using the Markov chain model. Our efforts in this direction lead through a simplification of the mixing matrix incorporating both probabilities. We present the simplification and discuss some of its ramifications. We expect that it may lead to some improvement of the computational properties of the Markov chain model of the simple genetic algorithm.



  • Technology and Engineering
  • mutation probability
  • genetic algorithms
  • crossover probability
  • Markov processes
  • mixing matrix
  • probability
  • Markov chain model
  • simple genetic algorithm


CEC2001, Congress on Evolutionary Computation
Seoul , South Korea
  • ISBN: 0-7803-6657-3

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