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ICNC
2005
Springer

A Game-Theoretic Approach for Designing Mixed Mutation Strategies

9 years 1 months ago
A Game-Theoretic Approach for Designing Mixed Mutation Strategies
Abstract. 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.
Jun He, Xin Yao
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICNC
Authors Jun He, Xin Yao
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