A New Particle Swarm Optimization with Quadratic Interpolation

Authors:
Millie Pant;T. Radha;V. P. Singh
Affiliations:
-;-;-
Venue:
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 01
Year:
2007

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Abstract

In this paper we have presented a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QIPSO for solving global optimization problems. The QIPSO algorithm makes use of a multiparent, quadratic crossover/reproduction operator defined by us in the BPSO algorithm. We have compared it with Basic Particle Swarm Optimization and the numerical results show that QIPSO outperforms the BPSO algorithm in all the sixteen cases taken in this study.