Article ID Journal Published Year Pages File Type
1142979 Operations Research Letters 2009 6 Pages PDF
Abstract

An algorithm called DE-PSO is proposed which incorporates concepts from DE and PSO, updating particles not only by DE operators but also by mechanisms of PSO. The proposed algorithm is tested on several benchmark functions. Numerical comparisons with different hybrid meta-heuristics demonstrate its effectiveness and efficiency.

Keywords
Related Topics
Physical Sciences and Engineering Mathematics Discrete Mathematics and Combinatorics
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A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization
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