A Differential Evolution Algorithm Based on Self-Adapting Mountain-Climbing Operator

Sheng Lei; Wei Liu; Yao He Cai

doi:10.4028/www.scientific.net/AMM.263-266.2332

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266A Differential Evolution Algorithm Based on...

A Differential Evolution Algorithm Based on Self-Adapting Mountain-Climbing Operator

Abstract:

This paper presents a Differential Evolution algorithm based on Self-Adapting Mountain-climbing operator (LCDE) to overcome the problem of low convergence speed and bad local searching ability in the evolution period. The algorithm dynamically adjusts the value of climb radius during using the information of the individual search efficiency in the search process. The experiment results demonstrate that the new differential evolution algorithm has fast convergence speed and high computation precision.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2332-2338

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2332

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Online since:

December 2012

Authors:

Sheng Lei, Wei Liu, Yao He Cai

Keywords:

Differential Evolution, Mountain-Climbing, Self-Adapting

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