A Multi-Role Particle Swarm Algorithm for Numerical Optimization

Hai Yan Quan; Zeng Li Liu

doi:10.4028/www.scientific.net/AMR.490-495.1085

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495A Multi-Role Particle Swarm Algorithm for...

A Multi-Role Particle Swarm Algorithm for Numerical Optimization

Abstract:

the paper proposes a stochastic differential search operator (SDSO) which can traverse the numerical object space (eg. ), and a Multi-Role particle swarm which can be differentiated into the different roles to search the objective space using the different strategies. Based on the SDSO and the Multi-Role particle swarm, a Multi-Role particle swarm algorithm (MRPSA) for numerical optimization is proposed. In the test experiment, 6 unconstrained benchmark functions are used to demonstrate the performance of MRPSA. The results show that MRPSA can find the optimal or close-to-optimal solutions of those benchmark functions efficiently.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1085-1089

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1085

Citation:

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Online since:

March 2012

Authors:

Hai Yan Quan, Zeng Li Liu

Keywords:

Clonal Selection Operation, Heuristic Search, Multi-Role Particle Swarm, Numerical Function Optimization, Stochastic Differential Search Operator

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