Description: Upload the improved PSO algorithm using adaptive originally transformed the original particle swarm algorithm based on the principle of greed, can avoid premature convergence of particle swarm optimization (PSO) or in a local value.
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File list (Check if you may need any files):
adaptivePSOt
............\A Particle Swarm Optimization (PSO) Primer.pdf
............\DemoPSOBehavior.m
............\goplotpso.m
............\goplotpso4demo.m
............\hiddenutils
............\...........\forcecol.m
............\...........\forcerow.m
............\...........\linear_dyn.m
............\...........\normmat.m
............\...........\spiral_dyn.m
............\license.txt
............\nnet
............\....\demoPSOnet.m
............\....\goplotpso4net.m
............\....\pso_neteval.m
............\....\trainpso.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