INFORMATION CHANGE THE WORLD

International Journal of Education and Management Engineering(IJEME)

ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)

Published By: MECS Press

IJEME Vol.1, No.3, Sep. 2011

Binary Encoding Differential Evolution for Combinatorial Optimization Problems

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Author(s)

Changshou Deng,Bingyan Zhao,Yanlin Yang,Hai Zhang

Index Terms

Combinatorial optimization problem; Differential Evolution; Binary encoding ; semi-probability mutation operator

Abstract

Differential Evolution algorithm is a new competitive heuristic optimization algorithm in the continuous field. The operators in the original Differential Evolution are simple; however, these operators make it impossible to use the Differential Evolution in the binary space directly. Based on the analysis of problems led by the mutation operator of the original Differential Evolution in the binary space, a new mutation operator was proposed to enable this optimization technique can be used in binary space. The new mutation operator, which is called semi-probability mutation operator, is a combination of the original mutation operator and a new probability-based defined operator. Initial experimental results of two different combinatorial optimization problems show its effectiveness and validity.

Cite This Paper

Changshou Deng,Bingyan Zhao,Yanlin Yang,Hai Zhang,"Binary Encoding Differential Evolution for Combinatorial Optimization Problems", IJEME, vol.1, no.3, pp.59-66, 2011.

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