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  • Update : 2018-02-04
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Particle swarm optimization (PSO) is an evolutionary computation technology (Evolutionary Computation). It was put forward by Dr. Eberhart and Kennedy in 1995, and it originated from the behavior of bird predation. The algorithm was initially inspired by the regularity of the activities of the birds cluster, and then used a simplified model established by the swarm intelligence. Based on the observation of animal cluster action behavior, particle swarm algorithm (PSO) makes use of individuals' information sharing in the group to make the whole group's motion in problem solving space evolve from disorder to order, so as to get the optimal solution.
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FilenameSizeUpdate
PSO.m 1739 2016-08-29
fitness.m 246 2016-08-22
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