Title: Improvement of fitness function in genetic algorithm
Abstract: The primary basis of genetic algorithm guiding the search is the individual fitness value, so the design of fitness function is particularly important. To keep the diversity of population and the convergence of algorithm,it proposed a non-linear fitness function which based on index transformation. The index coefficient in it can adapt to evolutionary process of algorithm. Under the same genetic operators and the same parameters,calculating with the proposed fitness function,linear scaling transformation fitness function of Goldberg and general index transformation fitness function respectively,The simulation results of two typical testing functions show that the proposed fitness function can greatly improve the accuracy of optimization algorithms,the convergence speed and the probability of convergence.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 3
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