Quantum-Behaved Particle Swarm Optimization with Mutation Operator

Authors:
Jing Liu;Wenbo Xu;Jun Sun
Affiliations:
Southern Yangtze University;Southern Yangtze University;Southern Yangtze University
Venue:
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Year:
2005

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Abstract

The mutation mechanism is introduced into Quantum-behaved Particle Swarm Optimization to increase its global search ability and escape from local minima. Based on the characteristic of QPSO algorithm, the variable of gbest and mbest is mutated with Cauchy distribution respectively. The experimental results on test functions show that QPSO with gbest and mbest mutation both performs better than PSO and QPSO without mutation.