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- W2359133077 abstract "Aiming at the problems of easily getting into the local optimum and slowly converging speed of the Particle Swarm Optimization(PSO) algorithm,a new PSO algorithm based on Tent chaotic sequence is proposed. The uniform particles are produced by Tent mapping so as to improve the quality of the initial solutions. The decision threshold of particles focusing degree is employed,and the local mutation mechanism and the local reinitializing particles are introduced in order to help the PSO algorithm to break away from the local optimum,whick can avoid the redundant computation and accelerate the convergence speed of the evolutionary process. Simulation experimental results show this algorithm is effective." @default.
- W2359133077 created "2016-06-24" @default.
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- W2359133077 date "2010-01-01" @default.
- W2359133077 modified "2023-09-23" @default.
- W2359133077 title "Particle Swarm Optimization Algorithm Based on Tent Chaotic Sequence" @default.
- W2359133077 hasPublicationYear "2010" @default.
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