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
0 109
下载积分: 1 下载次数: 9

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

  • chapter02
    通信天线建模与MATLAB仿真分析 基本天线仿真,chapter 2 内容(Communications antenna modeling and simulation analysis of the basic antenna MATLAB simulation, chapter 2 content)
    2009-03-19 10:51:29下载
    积分:1
  • MonteFig
    monte carloo simulation to test the result of
    2009-04-01 11:11:07下载
    积分:1
  • CSR_jp
    Cross-scale regularization
    2012-08-27 16:07:47下载
    积分:1
  • Forward-normal-cloud-generator
    正向正态云发生器算法,利用Matlab或VC编程实现正向正态云发生器算法,绘制出云模型。(Forward normal cloud generator)
    2020-11-01 11:19:55下载
    积分:1
  • Prog_Principal1
    program about iterative learning control
    2015-01-28 03:34:09下载
    积分:1
  • 2
    说明:  MATLAB实现WiMAX物理层的平台搭建,并仿真实现QPSK,PSK调制(MATLAB WiMAX physical layer of the platform and the simulation realization of QPSK, PSK modulation)
    2013-12-16 10:52:36下载
    积分:1
  • Code
    说明:  随机森林是一种有监督学习算法,是以决策树为基学习器的集成学习算法。随机森林非常简单,易于实现,计算开销也很小,但是它在分类和回归上表现出非常惊人的性能,因此,随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)
    2019-12-20 09:26:39下载
    积分:1
  • kalman
    简明卡尔曼滤波介绍,适用于初学者,很容易理解。(Kalman filter concise introduction for beginners, it is easier to understand.)
    2007-08-27 11:05:57下载
    积分:1
  • Superresolution00overview
    2003年Park关于超分辨图像重建的综述性文献,文中回顾了时域与频域的各种重建方法,并进行了比较。比较全面(2003 Park on the super-resolution image reconstruction is summarized in literature, the paper recalled the time domain and frequency domain of various reconstruction methods and compared. More comprehensive)
    2010-07-05 11:12:50下载
    积分:1
  • 3-phase-AC-
    说明:  用中文书,非常详细的讲解了3相交流电的基础知识,对实际实用很有帮助!(Chinese books, explained in great detail the basics of 3-phase alternating current, the actual practical help!)
    2011-02-25 13:48:39下载
    积分:1
  • 696518资源总数
  • 104347会员总数
  • 12今日下载