登录
首页 » matlab » MATLAB智能算法30个案例分析代码

MATLAB智能算法30个案例分析代码

于 2019-05-19 发布
0 177
下载积分: 1 下载次数: 10

代码说明:

说明:  压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码,对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)

文件列表:

chapter10基于粒子群算法的多目标搜索算法, 0 , 2018-03-05
chapter10基于粒子群算法的多目标搜索算法\chapter10, 0 , 2018-03-05
chapter10基于粒子群算法的多目标搜索算法\chapter10\data.mat, 422 , 2010-12-28
chapter10基于粒子群算法的多目标搜索算法\chapter10\main.m, 6048 , 2010-12-28
chapter11基于多层编码遗传算法的车间调度算法, 0 , 2018-03-05
chapter11基于多层编码遗传算法的车间调度算法\chapter11, 0 , 2018-03-05
chapter11基于多层编码遗传算法的车间调度算法\chapter11\aberranceJm.m, 1067 , 2007-09-24
chapter11基于多层编码遗传算法的车间调度算法\chapter11\across.m, 2329 , 2007-09-17
chapter11基于多层编码遗传算法的车间调度算法\chapter11\cal.m, 1325 , 2007-09-17
chapter11基于多层编码遗传算法的车间调度算法\chapter11\calP.m, 555 , 2007-09-17
chapter11基于多层编码遗传算法的车间调度算法\chapter11\caltime.m, 1276 , 2007-09-17
chapter11基于多层编码遗传算法的车间调度算法\chapter11\Find.m, 178 , 2007-08-22
chapter11基于多层编码遗传算法的车间调度算法\chapter11\main.m, 2816 , 2010-10-04
chapter11基于多层编码遗传算法的车间调度算法\chapter11\plotRec.m, 487 , 2007-07-14
chapter11基于多层编码遗传算法的车间调度算法\chapter11\ranking.M, 4708 , 2010-12-23
chapter11基于多层编码遗传算法的车间调度算法\chapter11\REINS.M, 5574 , 1998-04-22
chapter11基于多层编码遗传算法的车间调度算法\chapter11\RWS.M, 1090 , 1998-04-22
chapter11基于多层编码遗传算法的车间调度算法\chapter11\scheduleData.mat, 527 , 2010-12-23
chapter11基于多层编码遗传算法的车间调度算法\chapter11\SELECT.M, 2401 , 1998-04-22
chapter11基于多层编码遗传算法的车间调度算法\chapter11\selectJm.m, 398 , 2007-09-24
chapter12免疫优化算法在物流配送中心选址中的应用, 0 , 2018-03-05
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12, 0 , 2018-03-05
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\bestselect.m, 1669 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\centre.fig, 7910 , 2010-09-07
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\concentration.m, 479 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\Cross.m, 1294 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\draw.m, 1046 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\excellence.m, 400 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\figure.fig, 9007 , 2010-09-07
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\fitness.m, 901 , 2010-09-07
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\IAdata.mat, 4838 , 2010-09-07
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\incorporate.m, 1102 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\main.m, 3676 , 2010-12-28
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\Mutation.m, 1001 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\popinit.m, 319 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\Select.m, 912 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\similar.m, 377 , 2010-09-06
chapter12免疫优化算法在物流配送中心选址中的应用\chapter12\test.m, 580 , 2010-09-06
chapter13粒子群优化算法的寻优算法, 0 , 2018-03-05
chapter13粒子群优化算法的寻优算法\chapter13, 0 , 2018-03-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1, 0 , 2018-03-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\fun.m, 241 , 2010-08-03
chapter13粒子群优化算法的寻优算法\chapter13\sample1\main.m, 1579 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\MexicoHatnew.m, 174 , 2010-08-03
chapter13粒子群优化算法的寻优算法\chapter13\sample1\PSO0.m, 1802 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\PSO1.m, 1859 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\PSO2.m, 1859 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\PSO3.m, 1878 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\PSO4.m, 1863 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample1\wchange.m, 353 , 2010-08-05
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin, 0 , 2018-03-05
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\fun.m, 197 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\pso.fig, 6256 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\PSO.m, 1571 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\pso.mat, 2624 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\rastrigrin.fig, 123876 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample2-Rastrgrin\rastrigrin.m, 128 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan, 0 , 2018-03-05
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\fun.m, 209 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\Griewank.fig, 699309 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\Griewank.m, 146 , 2010-08-09
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\pso.fig, 5867 , 2010-08-11
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\PSO.m, 1582 , 2010-08-11
chapter13粒子群优化算法的寻优算法\chapter13\sample3-Griewankan\pso.mat, 4509 , 2010-08-11
chapter14基于粒子群算法的PID控制器优化设计, 0 , 2018-03-05
chapter14基于粒子群算法的PID控制器优化设计\案例14, 0 , 2018-03-05
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果, 0 , 2018-03-05
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\GA_run.html, 3271 , 2010-08-23
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\GA_run.png, 1337 , 2010-08-23
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\GA_run_01.png, 10751 , 2010-08-23
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\PSO.html, 11078 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\PSO.png, 3133 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\PSO_01.png, 4996 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\cell模式下运行结果\PSO_02.png, 6157 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\源程序, 0 , 2018-03-05
chapter14基于粒子群算法的PID控制器优化设计\案例14\源程序\GA_run.m, 477 , 2010-08-23
chapter14基于粒子群算法的PID控制器优化设计\案例14\源程序\PID_Model.mdl, 29558 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\源程序\PSO.m, 2589 , 2010-08-23
chapter14基于粒子群算法的PID控制器优化设计\案例14\源程序\PSO_PID.m, 174 , 2010-08-22
chapter14基于粒子群算法的PID控制器优化设计\案例14\问题解决思路.pdf, 116504 , 2010-08-23
chapter15基于混合粒子群算法的TSP搜索算法, 0 , 2018-03-05
chapter15基于混合粒子群算法的TSP搜索算法\chapter15, 0 , 2018-03-05
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\bayg29.txt, 695 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\burma14.txt, 236 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\ch130.txt, 4394 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\ch150.txt, 5098 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\dist.m, 126 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\eil51.txt, 444 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\fitness.m, 419 , 2010-10-16
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\gr96.txt, 1628 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\main.asv, 5551 , 2011-03-19
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\main.m, 5566 , 2011-03-19
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\Oliver30.txt, 434 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\pr226.txt, 3459 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\pr76.txt, 1117 , 2009-06-12
chapter15基于混合粒子群算法的TSP搜索算法\chapter15\st70.txt, 678 , 2009-06-12
chapter16 基于动态粒子群算法的动态环境寻优算法, 0 , 2018-03-05
chapter16 基于动态粒子群算法的动态环境寻优算法\chapter16, 0 , 2018-03-05
chapter16 基于动态粒子群算法的动态环境寻优算法\chapter16\DF1function.m, 586 , 2010-11-16
chapter16 基于动态粒子群算法的动态环境寻优算法\chapter16\fitnessRecord.mat, 4236 , 2010-11-12

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • discreteconsensus
    多个体协调控制,可以实现多个个体的状态在切换拓扑下达到一致(multi-agent system coorination)
    2021-03-18 23:09:19下载
    积分:1
  • laplace
    用matlab的LAPACE算子原理对图像进行了吧。是源图像更加的清晰。(Operators using matlab' s LAPACE principle of the image instead. Is the source image is more clear.)
    2010-07-17 14:23:58下载
    积分:1
  • Threshold
    here is a code for energy detection spectrum sensing whrtr i used thresholding to find a roc curve...
    2015-02-24 18:38:19下载
    积分:1
  • OFDM
    讲述了完整的OFDM仿真系统,对初学者很有帮助(About a complete OFDM simulation system very helpful for beginners)
    2009-11-03 16:14:12下载
    积分:1
  • Esfera2_matlab
    Esfera control gimbal matlab
    2012-08-29 04:39:06下载
    积分:1
  • HydraulicSimulation1_0
    液压系统仿真,仿真了液压系统负载特性、温度特性以及不同飞行阶段的特性。(Hydraulic system simulation, simulation of the hydraulic system load and temperature characteristics, and characteristics of different flight phases.)
    2011-01-21 18:03:00下载
    积分:1
  • emd
    经验模态分解分析噪声信号,带源码,初学者可参考(Empirical mode decomposition analysis of noise signal, with source code, beginners can reference)
    2012-04-26 13:01:46下载
    积分:1
  • suntracker
    chercher la MPPT d un panneau photovoltaï que
    2013-05-12 20:02:27下载
    积分:1
  • IA_LD
    IA_LD是用免疫优化算法(immune algorithm)解决物流配送中心选址(Logistics and Distribution)的问题。文件打开后运行IA_LD.m文件即可得到结果,代码中有详细注释,方便修改。运行示例已经保存为图片附在压缩包中。(IA_LD is immune optimization algorithm (immune algorithm) to solve the logistics distribution center location (Logistics and Distribution) problem. Run IA_LD.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)
    2014-02-08 12:25:55下载
    积分:1
  • paper5
    LTE论文(Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems)(Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems)
    2015-04-05 13:40:01下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载