Title: Function Optimization Problems Based on Evolutionary Strategies
Abstract: Based on the reason of the computed speed slow for the complicate problem using evolutionary strategies,the paper presents a new adaptive mutation method.This algorithm employ self-adaptive evolutionary programming to control the population's global evolve.The self-adaptive evolutionary programming depends on the distance between the target variable and the globally optimal solution,and uses a mutation operator to search the solution space.The mutation operator based local optimization method and random restart method was combined in order to increase the reliability of finding the global optimum.The new algorithm can obtain satisfactory results in limited time.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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