P System Based Particle Swarm Optimization Algorithm

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Particle Swarm Optimization algorithm is a kind of excellent optimization algorithm, and has been widely used in many fields. In order to overcome the premature convergence and improve the accuracy of the PSO, we combine some related theories of membrane computing with PSO. The new algorithm can effectively balance the global search and partial optimization. Simulation results based on three bench functions show that the new algorithm can effectively solve the problem of premature, and effectively improve the convergence precision. At the same time, the algorithm in solving TSP problem also shows good optimization ability.

Keywords

Membrane Computing Particle swarm optimization Global search Partial optimization 

Notes

Acknowledgments

This work is supported partially by National Science Fund of China (NO. 61170038), Science Fund of Shandong province (NO. ZR2011FM001), Social Science Fund of Shandong province (NO. 11CGLJ22).

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of Management Science and EngineeringShandong Normal UniversityJinanChina

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