WU Xiao-jin, ZHU Zhong-ying. Research on Diversity Measure of Genetic Algorithms[J]. INFORMATION AND CONTROL, 2005, 34(4): 416-422.
Citation: WU Xiao-jin, ZHU Zhong-ying. Research on Diversity Measure of Genetic Algorithms[J]. INFORMATION AND CONTROL, 2005, 34(4): 416-422.

Research on Diversity Measure of Genetic Algorithms

  • This paper summarizes the individual diversity measuring methods in detail, and discusses the effect of genotype genetic evolution process on diversity fron the point of viem of coding. Order deceptive function and Rastrigin function are taken as examples to discuss effect of the cross and mutation operation on the diversity. At the same time, the paper discusses the reinforcement methods of diversity, verifies the parameter self-adaptive control method to order and binary coding problems, and proposes a fitness self-adaptive adjustment method to binary coding problems. The simulation experiments show the validity of this method.
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