Gaussian mutation and self-adaption for numeric genetic algorithms

  • Robert Hinterding
  • Published 1995 in
    Proceedings of 1995 IEEE International Conference…

Abstract

By considering the function variables rat,her than the binary-bits as genes, new mutation operators can be devised for GAS used t o optimise numeric functions. We implement Gaussian mutation operators for Genetic Algorithms used to opt,imise numeric functions and show it is superior t o bit-flip mutation for most of the test functions. Gaussian mutation is… (More)

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