A New Chaos Particle Swarm Optimization Combining the Chaotic Perturbation

Mengxia Li, Ruiquan Liao
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Aiming at the drawback of the local search ability of weakness of adaptive chaos particle swarm optimization (ACPSO), which is based on the variance of population's fitness, this paper presents that introduces the chaos mutation and chaos search to the ACPSO. By using the An chaos mapping to proceed the chaos mutation for some particles and take chaos search for the global optimal particle, it proposes a rule which takes into account the positions of particles and adaptive mutative scale of
more » ... mizing space. The results of numerical simulation show that the convergence, and the global and local search ability of the new method are improved, and can effectively avoid premature convergence.
doi:10.14257/ijsip.2015.8.4.04 fatcat:67e4ks2oubdn5cpxq6235oqdyi