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ESCIENCE
2006
IEEE

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

9 years 7 months ago
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
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.
David Ireland, Andrew Lewis, Sanaz Mostaghim, Junw
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ESCIENCE
Authors David Ireland, Andrew Lewis, Sanaz Mostaghim, Junwei Lu
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