Description: An improved particle swarm optimization algorithm--- poor overall survival strategy based on a mixture of particle swarm optimization (GTPSO). GTPSO while maintaining fast convergence PSO algorithm based on the algorithm to Guo Tao (GuoA) optimization of the mechanism in place to ensure the diversity of the population of the tenacity and algorithms. The numerical results show that for high-dimensional (dimension ≥ 10) the complexity of multi-peak function non-convex numerical optimization problems, GTPSO algorithm results are superior to GuoA algorithms and particle swarm optimization algorithm.
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一种基于全局劣汰策略的混合粒子群优化算法.pdf
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