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OALib Journal期刊
ISSN: 2333-9721
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Adaptive genetic strategy with continuous mutation
一种连续变异的自适应遗传策略

Keywords: mutation,adaptive genetic algorithm,adaptive crossover,selection,Gray code
变异
,自适应遗传算法,自适应交叉,选择,格雷码

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Abstract:

A new algorithm based on continuous mutation was proposed. The mixed selection was used for choosing individuals. Through the combination of the phased crossover and the cosine adaptive crossover, the double adaptive crossover got the crossover probability. The continuous mutation strategy used continuous process from crude search to precise search. Numerical experiments show that the new algorithm is more effective in realizing the high convergence speed, convergence precision, reducing the convergence algebra and good at keeping the stability of the adaptive genetic algorithm.

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