Research on Chaos Theory Improved Evolutionary Algorithm

Shu Qun Liu; Yang Zhou; Wei Ping Yan

doi:10.4028/www.scientific.net/AMR.926-930.3463

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research on Chaos Theory Improved Evolutionary...

Research on Chaos Theory Improved Evolutionary Algorithm

Abstract:

Because the basic evolutionary algorithm convergence speed is slow, prone to stagnation, the algorithm running time is too long, so according to chaos theory about the relationship between evolution and chaos, this paper design an improved evolutionary algorithm with chaotic mutation operator, the optimization of the contraction policy can improve the global search ability of effective, significantly improved the performance of the proposed algorithm.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3463-3466

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3463

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Online since:

May 2014

Authors:

Shu Qun Liu*, Yang Zhou, Wei Ping Yan

Keywords:

Chaos Theory, Evolutionary Algorithm (EA), Improved

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* - Corresponding Author

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