Particle Swarm Optimization Toolbox of the Toolkit will be the core of the PSO algorithm package, and made available to the user adjustable parameters for the algorithm, users only need to define their need to optimize the function (calculation of the minimum or maximum), and set good function from the range of variables, each iteration step the maximum allowable variation (known as maximum speed, Max_V) and so on, can self-optimize.

Packet : 103244836psot.rar filelist
粒子群算法工具箱\A Particle Swarm Optimization (PSO) Primer.pdf
粒子群算法工具箱\DemoPSOBehavior.m
粒子群算法工具箱\goplotpso4demo.m
粒子群算法工具箱\goplotpso.m
粒子群算法工具箱\pso_Trelea_vectorized.m
粒子群算法工具箱\ReadME.txt
粒子群算法工具箱\hiddenutils\forcecol.m
粒子群算法工具箱\hiddenutils\forcerow.m
粒子群算法工具箱\hiddenutils\linear_dyn.m
粒子群算法工具箱\hiddenutils\normmat.m
粒子群算法工具箱\hiddenutils\spiral_dyn.m
粒子群算法工具箱\nnet\demoPSOnet.m
粒子群算法工具箱\nnet\goplotpso4net.m
粒子群算法工具箱\nnet\pso_neteval.m
粒子群算法工具箱\nnet\trainpso.m
粒子群算法工具箱\testfunctions\ackley.m
粒子群算法工具箱\testfunctions\alpine.m
粒子群算法工具箱\testfunctions\DeJong_f2.m
粒子群算法工具箱\testfunctions\DeJong_f3.m
粒子群算法工具箱\testfunctions\DeJong_f4.m
粒子群算法工具箱\testfunctions\f6.m
粒子群算法工具箱\testfunctions\f6mod.m
粒子群算法工具箱\testfunctions\f6_bubbles_dyn.m
粒子群算法工具箱\testfunctions\f6_linear_dyn.m
粒子群算法工具箱\testfunctions\f6_spiral_dyn.m
粒子群算法工具箱\testfunctions\Foxhole.m
粒子群算法工具箱\testfunctions\Griewank.m
粒子群算法工具箱\testfunctions\NDparabola.m
粒子群算法工具箱\testfunctions\Rastrigin.m
粒子群算法工具箱\testfunctions\Rosenbrock.m
粒子群算法工具箱\testfunctions\tripod.m
粒子群算法工具箱\PSO工具箱使用简介.doc
粒子群算法工具箱\test_func.m
粒子群算法工具箱\test_main.m
粒子群算法工具箱\hiddenutils
粒子群算法工具箱\nnet
粒子群算法工具箱\testfunctions
粒子群算法工具箱

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