A Game-Theoretic Approach for Designing Mixed Mutation Strategies

  • Jun He
  • Xin Yao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3612)


Different mutation operators have been proposed in evolutionary programming. However, each operator may be efficient in solving a subset of problems, but will fail in another one. Through a mixture of various mutation operators, it is possible to integrate their advantages together. This paper presents a game-theoretic approach for designing evolutionary programming with a mixed mutation strategy. The approach is applied to design a mixed strategy using Gaussian and Cauchy mutations. The experimental results show the mixed strategy can obtain the same performance as, or even better than the best of pure strategies.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jun He
    • 1
    • 2
  • Xin Yao
    • 1
  1. 1.School of Computer ScienceThe University of BirminghamEdgbaston, BirminghamU.K.
  2. 2.Department of Computer ScienceBeijing Jiaotong UniversityBeijingChina

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