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According to the particle swarm optimization algorithm (PSO) exist precocious and local convergence problem, Put forward a kind of improved particle swarm optimization algorithm, the gradient descent method (BP algorithm) as a particle swarm operator embedded in particle swarm algorithm, By static function approximation to test of the improvement of the(More)
In this paper, a new method named MSSE-PSO (master–slave swarms shuffling evolution algorithm based on particle swarm optimization) is proposed. Firstly, a population of points is sampled randomly from the feasible space, and then partitioned into several sub-swarms (one master swarm and other slave swarms). Each slave swarm independently executes PSO or(More)
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