文件名称:psoga
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-12-11
- 文件大小：
- 1018kb
- 下载次数：
- 0次
- 提 供 者：
- 陈*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
用遗传算法和粒子群算法实现对函数的最大值的寻找，并且比较两者算法的性能好坏，通过运行时间，迭代次数等来判断-The genetic algorithm and particle swarm algorithm are used to find the maximum value of the function, and the performance of the two algorithms is compared. The running time and the number of iterations are used to judge
(系统自动生成,下载前可以参看下载内容)
下载文件列表
粒子群优化\fun.m
..........\ga\bs2rv.m
..........\..\contents.m
..........\..\crtbase.m
..........\..\crtbp.m
..........\..\crtrp.m
..........\..\DOC\GATBXA0.PS
..........\..\...\GATBXA1.PS
..........\..\...\GATBXA2.PS
..........\..\gpl.txt
..........\..\migrate.m
..........\..\mpga.m
..........\..\mut.m
..........\..\mutate.m
..........\..\mutbga.m
..........\..\objfun1.m
..........\..\objharv.m
..........\..\ranking.m
..........\..\recdis.m
..........\..\recint.m
..........\..\reclin.m
..........\..\recmut.m
..........\..\recombin.m
..........\..\reins.m
..........\..\rep.m
..........\..\resplot.m
..........\..\rws.m
..........\..\scaling.m
..........\..\select.m
..........\..\sga.m
..........\..\sus.m
..........\..\Test_fns\demoga1.M
..........\..\........\mpga.M
..........\..\........\objbran.M
..........\..\........\objdopi.M
..........\..\........\objeaso.M
..........\..\........\objfun1.M
..........\..\........\objfun1a.M
..........\..\........\objfun1b.M
..........\..\........\objfun2.M
..........\..\........\objfun6.M
..........\..\........\objfun7.M
..........\..\........\objfun8.M
..........\..\........\objfun9.M
..........\..\........\objgold.M
..........\..\........\objharv.M
..........\..\........\objlinq.M
..........\..\........\objlinq2.M
..........\..\........\objpush.M
..........\..\........\objsixh.M
..........\..\........\resplot.M
..........\..\........\sga.M
..........\..\........\simdopi1.M
..........\..\........\simdopi2.M
..........\..\........\simlinq1.M
..........\..\........\simlinq2.M
..........\..\........\simobjp.M
..........\..\........\TEST_FNS.PS
..........\..\xovdp.m
..........\..\xovdprs.m
..........\..\xovmp.m
..........\..\xovsh.m
..........\..\xovshrs.m
..........\..\xovsp.m
..........\..\xovsprs.m
..........\ga.m
..........\pso.m
..........\粒子群算法工具箱\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
..........\................\PSO工具箱使用简介.doc
..........\................\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
..........\................\test_func.m