Title: Study on genetic algorithm and evolutionary programming
Abstract: Genetic algorithm and evolutionary programming are two generally used evolutionary algorithms. Due to the difference of their origin, there are a lot of differences between their biologic bases, algorithm operation and some other operational details. So, the performances of the two algorithms are different. In this paper, these differences are analyzed comprehensively by theory and revealed by simulation experiments. The results show that the performance of evolutionary programming is better than that of genetic algorithm and the evolutionary programming is more suitable for practical applications.
Publication Year: 2012
Publication Date: 2012-12-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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