文件名称:PSOtoolbox
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微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。-Particle Swarm Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications.
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pso
pso
fuzzy
竞争
神经
网络
训练
matlab
pso
fuzzy
genetic
algorithm
with
pso
遗传
算法
genetic
algorithm
based
control
of
pso
evolutionary
遗传算法
matlab
pso
pso
fuzzy
竞争
神经
网络
训练
matlab
pso
fuzzy
genetic
algorithm
with
pso
遗传
算法
genetic
algorithm
based
control
of
pso
evolutionary
遗传算法
matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
微粒群优化算法(PSO)工具箱
.........................\PSOt
.........................\....\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
.........................\....\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
.........................\PSO工具箱使用简介
.........................\.................\PSO工具箱使用简介.doc
.........................\.................\test_func.m
.........................\.................\test_main.m
.........................\PSO工具箱使用简介.rar
.........................\rand_list.txt
.........................\shuoming.txt
.........................\PSOt
.........................\....\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
.........................\....\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
.........................\PSO工具箱使用简介
.........................\.................\PSO工具箱使用简介.doc
.........................\.................\test_func.m
.........................\.................\test_main.m
.........................\PSO工具箱使用简介.rar
.........................\rand_list.txt
.........................\shuoming.txt