@inproceedings{a579f441b55e437d8d797f72cca95fd4,
title = "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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2005.",
keywords = "Mutation Operator, Mixed Strategy, Pure Strategy, Evolutionary Game Theory, Mutation Strategy",
author = "Jun HE and Xin YAO",
year = "2005",
doi = "10.1007/11539902_33",
language = "English",
isbn = "9783540283201",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "279--288",
editor = "Lipo WANG and Ke CHEN and ONG, {Yew Soon}",
booktitle = "Advances in Natural Computation : First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III",
}