Discrete Differential Evolution Strategy and its Numerical Application

Abstract:

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Differential evolution is a simple but powerful parallel global search optimization algorithm, which has been successfully used to solve single-objective optimization problems. In this paper, a novel discrete differential evolution strategy (D2E) is proposed to enhance the ability of solving the numerical optimization problems. D2E adopts the difference information from the binary evolutionary individuals and self-adaptive parameter adjustment to effectively explore the global solution space. The results of numerical simulations demonstrate that the proposed strategy is feasible and efficient, has the better metrics performances.

Info:

Periodical:

Key Engineering Materials (Volumes 439-440)

Edited by:

Yanwen Wu

Pages:

540-545

DOI:

10.4028/www.scientific.net/KEM.439-440.540

Citation:

M. M. Zhang et al., "Discrete Differential Evolution Strategy and its Numerical Application", Key Engineering Materials, Vols. 439-440, pp. 540-545, 2010

Online since:

June 2010

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Price:

$35.00

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