A Hybrid Particle Swarm Optimization with Adaptive Local Search
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| Title | A Hybrid Particle Swarm Optimization with Adaptive Local Search |
| Authors | |
| Abstract | Particle swarm optimization (PSO) has shown its good search ability in many optimization problems. However, PSO often easily fall into local minima because the particles could quickly converge to a position by the attraction of the best particles. Under this circumstance, all the particles could hardly be improved. This paper presents a hybrid PSO, namely LSPSO, to solve this problem by employing an adaptive local search operator. Experimental results on 8 well-known benchmark problems show that LSPSO achieves better results than the standard PSO, PSO with Gaussian mutation and PSO with Cauchy mutation on majority of test problems. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-04-01 |
| Source | Journal of Networks Vol 5, No 4 (2010): Special Issue: Selected Best Papers of 2009 WASE International Conference on In |
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