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Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization


Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization



Published: 2006 Dezember

Buchtitel: eSceience Conference
Seiten: auf CD erschienen
Verlag: IEEE Computer Society Washington, DC, USA

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Kurzfassung
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two principal methods are compared: the recently described Sigma method, and a new "Centroid" method. Drawing on the different dominant behaviors exhibited by the different selection methods, a variety of hybridizations of these is proposed to develop a more robust optimization algorithm. Statistical analysis of the hybrid methods demonstrates their contribution to improved performance of the optimization algorithm.

ISBN: 0-7695-2734-5



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