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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 66-70

A PSO Algorithm Based on Biologe Population Multiplication (PMPSO)

Lei Yin and Xiaoxiang Liu

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Inspired by the natural phenomenon of multiplication of biological population, a population multiplication particle swarm optimization (PMPSO) is presented. The proposed algorithm (PMPSO) has four phases of migration, selection, elimination and reproduction, evolution. Using searching optimal model of PSO in the migration phase; introducing LEVEL SET theory dividing population to be able to facilitate the selection operation in the selection phase; speeding up the algorithm convergence by abandoning the inferior population, reproducing superior population and making full use of population resource in the phase of elimination and reproduction; creating new population to keep the diversity to avoid monotone of the algorithm in the last evolutionary phase. Finally, PMPSO is applied to some test functions comparing with GA and SPSO algorithm, which is proved that the PMPSO is feasible and effective.

Index Terms

biologe population multiplication, LEVEL SET, Particle Swarm Optimization

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