Description: Niching PSO algorithm to deal with complex multimodal function optimization problems exist some defects, asked the the an improved the niche sNPsO algorithm. sNPSO algorithm introduced in which the order of the niche ideas stretching technology is the first application in the main group, the dissolution of the strategy followed by the sub-groups, find an extreme point in the sub-groups after the handle the groups dissolution regression main groups, the final set radius threshold value, the creation of the subset populations avoid subpopulations radius is too large. The algorithm to solve the standard NichePS0 algorithm multimodal function, the number of extreme points depends on the number of sub-groups and the extreme points prone repeat omissions. 3 basic test function experiments show that the new algorithm (SNPsO) in multimodal function optimization solution stability, convergence and coverage are better than standard NichePS0.
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基于小生境粒子群的多峰函数全局优化算法的研究.pdf
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