Pso particle swarm optimization algorithm, all particles have an optimized value determined by the function, each particle also has a speed to determine their movement direction and distance, and then the particles follow the current optimal particle in the solution space search for

PSO算法\A Particle Swarm Optimization (PSO) Primer.pdf
.......\DemoPSOBehavior.m
.......\goplotpso.m
.......\goplotpso4demo.m
.......\pso_Trelea_vectorized.m
.......\ReadME.txt
.......\testfunctions\ackley.m
.......\.............\alpine.m
.......\.............\DeJong_f2.m
.......\.............\DeJong_f3.m
.......\.............\DeJong_f4.m
.......\.............\f6.m
.......\.............\f6mod.m
.......\.............\f6_bubbles_dyn.m
.......\.............\f6_linear_dyn.m
.......\.............\f6_spiral_dyn.m
.......\.............\Foxhole.m
.......\.............\Griewank.m
.......\.............\NDparabola.m
.......\.............\Rastrigin.m
.......\.............\Rosenbrock.m
.......\.............\tripod.m
.......\nnet\demoPSOnet.m
.......\....\goplotpso4net.m
.......\....\pso_neteval.m
.......\....\trainpso.m
.......\hiddenutils\forcecol.m
.......\...........\forcerow.m
.......\...........\linear_dyn.m
.......\...........\normmat.m
.......\...........\spiral_dyn.m
.......\testfunctions
.......\nnet
.......\hiddenutils
PSO算法

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