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As one of the main searching operators of Ethnic group evolution algorithm (EGEA), the performance of mutation operator has a heavy influence on its searching efficiency. In binary coding population, the mutation probability is the key factor to affect the performance of mutation operator. Meanwhile, it is difficult to estimate a proper mutation probability for mutation operator in whole evolution...
In ethnic group evolution algorithm (EGEA), the ethnic group clustering mechanism cannot only be used to analyze the structure of population but also be used to sift out valuable individuals from population. Based on this capability, we propose an improving EGEA with dual track coevolution mechanism consisting of an ethnic group evolution process and an experience learning process. The extra experience...
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