A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization

A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization

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Article ID: iaor20102944
Volume: 37
Issue: 2
Start Page Number: 117
End Page Number: 122
Publication Date: Mar 2009
Journal: Operations Research Letters
Authors: , , , ,
Keywords: particle swarm systems
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.

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