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- W2991937888 abstract "Aiming to improve the performance of standard Particle Swarm Optimization(PSO) algorithm,an improved PSO algorithm based on Multi-swarm and Multi-model cooperative evolution(MSM-PSO) is proposed.The particles are divided into three swarms in the same size,different swarms adapt different evolution models,and three swarms interact and affect each other.Besides,adaptive dynamic inertia weight is adopted in the algorithm,which can maintain diversity of population and reduce the possibility of local minimum.Simulation result shows that this method has better global performance,and higher optimization precision." @default.
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- W2991937888 date "2013-01-01" @default.
- W2991937888 modified "2023-09-23" @default.
- W2991937888 title "Particle Swarm Optimization Algorithm Based on Multi-swarm and Multi-model Cooperative Evolution" @default.
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