Cooperative mutation based evolutionary programming for continuous function optimization

  • Authors:
  • Doo-Hyun Choi

  • Affiliations:
  • College of Engineering, School of Electrical Engineering and Computer Science, Seoul National University, Seoul 151-742, South Korea

  • Venue:
  • Operations Research Letters
  • Year:
  • 2002

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Abstract

In this letter an evolutionary programming (EP) algorithm adapting a new mutation operator is presented. Unlike most previous EPs, in which each individual is mutated on its own, each individual in the proposed algorithm is mutated in cooperation with the other individuals. This not only enhances convergence speed but also gives more chance to escape from local minima.