Hybrid Evolution Strategies Algorithm Based on Dynamic Demes

Ming Zhang; Jiang Hua Sui

doi:10.4028/www.scientific.net/AMR.424-425.174

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Hybrid Evolution Strategies Algorithm Based on...

Hybrid Evolution Strategies Algorithm Based on Dynamic Demes

Abstract:

A hybrid evolution strategies algorithm based on dynamic demes is proposed in this paper. Evolutionary strategy algorithm is likely premature, and even simulated annealing with the character of local search is impossible to escape this range, when change the population based on the maximum entropy principle so that the individual out of this range, which can quickly converge to the global optimum. The numerical computation results indicate that the algorithm can gain higher global convergence rate and higher speed

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

174-178

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.174

Citation:

Cite this paper

Online since:

January 2012

Authors:

Ming Zhang, Jiang Hua Sui

Keywords:

Dynamic Demes, Evolution Strategies, Maximum Entropy Principle, Simulated Annealing (SA)

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