Mortal particles: particle swarm optimization with life span

Authors:
Yong-wei Zhang;Lei Wang;Qi-di Wu
Affiliations:
College of Electronics and Information Engineering, Tongji University, Shanghai, P.R. China;College of Electronics and Information Engineering, Tongji University, Shanghai, P.R. China;College of Electronics and Information Engineering, Tongji University, Shanghai, P.R. China
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

Born and death is the nature of lives, but most swarm intelligence algorithm did not reflect this important property. Based on Particle Swarm Optimization, the concept of life span is introduced to control the activity generation of particles. Furthermore, the differential operator is applied to enhance the convergence and precision. The performance of propose algorithm, along with PSO and DE, is tested on benchmark functions. Results show that life span and differential operator greatly improved PSO and with well-balanced exploration and exploitation characteristic.