首页 开发技术 其它     /    遗传算法的无功优化matlab实现

遗传算法的无功优化matlab实现

上传者: xiashaoyan1 | 上传时间:2024/5/6 6:24:46 | 文件大小:307KB | 文件类型:rar
遗传算法的无功优化matlab实现
基于遗传算法的无功优化matlab实现方法软件包,调试基本通过,可直接下载应用,具体例子可以自己修改一下原代码. 本软件ID:7625863

文件下载

资源详情

[{"title":"(49个子文件307KB)遗传算法的无功优化matlab实现","children":[{"title":"程序","children":[{"title":"新建+Microsoft+Word+文档.doc <span style='color:#111;'>25.50KB</span>","children":null,"spread":false},{"title":"matlab遗传算法程序","children":[{"title":"myfun.m <span style='color:#111;'>153B</span>","children":null,"spread":false},{"title":"myga.m <span style='color:#111;'>1.57KB</span>","children":null,"spread":false},{"title":"xcross.m <span style='color:#111;'>131B</span>","children":null,"spread":false},{"title":"B2F.m <span style='color:#111;'>658B</span>","children":null,"spread":false},{"title":"gaDemo1Eeval.m <span style='color:#111;'>172B</span>","children":null,"spread":false},{"title":"de2bi.m <span style='color:#111;'>1.02KB</span>","children":null,"spread":false},{"title":"INTinti.m <span style='color:#111;'>375B</span>","children":null,"spread":false},{"title":"mutation.m <span style='color:#111;'>529B</span>","children":null,"spread":false},{"title":"ga.m <span style='color:#111;'>1.04KB</span>","children":null,"spread":false},{"title":"cross.m <span style='color:#111;'>1.13KB</span>","children":null,"spread":false},{"title":"F2B.m <span style='color:#111;'>540B</span>","children":null,"spread":false},{"title":"changes.m <span style='color:#111;'>959B</span>","children":null,"spread":false},{"title":"f553.m <span style='color:#111;'>538B</span>","children":null,"spread":false}],"spread":false},{"title":"matlab有关GA优化的例子.doc <span style='color:#111;'>31.00KB</span>","children":null,"spread":false},{"title":"遗传算法","children":[{"title":"genalg.zip <span style='color:#111;'>30.01KB</span>","children":null,"spread":false},{"title":"2-2.zip <span style='color:#111;'>2.31KB</span>","children":null,"spread":false},{"title":"2-1.zip <span style='color:#111;'>2.21KB</span>","children":null,"spread":false},{"title":"源代码","children":[{"title":"IGKA","children":[{"title":"chodata.txt <span style='color:#111;'>666B</span>","children":null,"spread":false},{"title":"IGKA.c <span style='color:#111;'>16.11KB</span>","children":null,"spread":false}],"spread":true},{"title":"新建文件夹","children":[{"title":"GA.C <span style='color:#111;'>12.77KB</span>","children":null,"spread":false},{"title":"SELECTIO.C <span style='color:#111;'>2.44KB</span>","children":null,"spread":false},{"title":"GAUSSIAN.C <span style='color:#111;'>257B</span>","children":null,"spread":false},{"title":"GETW.C <span style='color:#111;'>1.04KB</span>","children":null,"spread":false},{"title":"AVERAGE.C <span style='color:#111;'>155B</span>","children":null,"spread":false},{"title":"UNICROSS.C <span style='color:#111;'>687B</span>","children":null,"spread":false},{"title":"MUTATE.C <span style='color:#111;'>1.01KB</span>","children":null,"spread":false},{"title":"ONECROSS.C <span style='color:#111;'>717B</span>","children":null,"spread":false},{"title":"WEIGHTS.TXT <span style='color:#111;'>407B</span>","children":null,"spread":false},{"title":"IRISGA.DAT <span style='color:#111;'>12.17KB</span>","children":null,"spread":false},{"title":"BP.C <span style='color:#111;'>4.17KB</span>","children":null,"spread":false},{"title":"EGAVGA.BGI <span style='color:#111;'>5.42KB</span>","children":null,"spread":false},{"title":"IRISGA.RUN <span style='color:#111;'>156B</span>","children":null,"spread":false},{"title":"INITIALI.C <span style='color:#111;'>579B</span>","children":null,"spread":false},{"title":"TWOCROSS.C <span style='color:#111;'>919B</span>","children":null,"spread":false},{"title":"GA.EXE <span style='color:#111;'>92.41KB</span>","children":null,"spread":false},{"title":"MAXIMUM.C <span style='color:#111;'>198B</span>","children":null,"spread":false},{"title":"DRAWBP.C <span style='color:#111;'>1.80KB</span>","children":null,"spread":false},{"title":"VARIANCE.C <span style='color:#111;'>495B</span>","children":null,"spread":false},{"title":"FITNESS.C <span style='color:#111;'>2.02KB</span>","children":null,"spread":false},{"title":"MINIMIAL.C <span style='color:#111;'>170B</span>","children":null,"spread":false},{"title":"MAIN.C <span style='color:#111;'>240B</span>","children":null,"spread":false},{"title":"GA.IDE <span style='color:#111;'>37.16KB</span>","children":null,"spread":false},{"title":"CROSSOVE.C <span style='color:#111;'>2.38KB</span>","children":null,"spread":false},{"title":"OUTPUT.TXT <span style='color:#111;'>9.51KB</span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"2-3.zip <span style='color:#111;'>2.19KB</span>","children":null,"spread":false},{"title":"gaw.zip <span style='color:#111;'>160.23KB</span>","children":null,"spread":false}],"spread":true},{"title":"Matlab环境下的遗传算法程序设计及优化问题求解.doc <span style='color:#111;'>36.50KB</span>","children":null,"spread":false}],"spread":true},{"title":"www.pudn.com.txt <span style='color:#111;'>218B</span>","children":null,"spread":false}],"spread":true}]

评论信息

  • xxzz926:
    matlab部分不能运行2017-05-05
  • nbzxh:
    非常好用,是值得借鉴的好资源2015-05-28

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明