Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.

粒子群算法源代码\AsyLnCPSO.m
................\BreedPSO.m
................\CLSPSO.m
................\Funval.m
................\LinWPSO.m
................\LnCPSO.m
................\PSO.m
................\RandWPSO.m
................\SAPSO.m
................\SelPSO.m
................\SimuAPSO.m
................\YSPSO.m
粒子群算法源代码

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