關(guān)于求最值的delphi遺傳算法源碼，絕對(duì)可以用，調(diào)試通過(guò)，界面美觀，由王小平書(shū)上的c代碼改編所成，創(chuàng)建了一個(gè)ga類，向構(gòu)造函數(shù)輸入合適的參數(shù)就可以運(yùn)算！
上傳時(shí)間： 2013-12-31
上傳用戶：天誠(chéng)24
-PID controller has been extensively used in the industrial world. But in this controller it is difficult to tune the PID gains. We apply the genetic algorithm(GA) to tune the PID gains. The GA is an optimization algorithm using the biotic genetics.
標(biāo)簽： controller extensively industrial world
上傳時(shí)間： 2014-01-07
上傳用戶：爺?shù)臍赓|(zhì)
國(guó)外經(jīng)典教材，關(guān)于人工智能方面各種算法，通俗易懂，絕對(duì)不能錯(cuò)過(guò)，包含tsp,ga等算法
標(biāo)簽： 教材
上傳時(shí)間： 2015-08-08
上傳用戶：youth25
遺傳算法的matlab程序，包括三個(gè)，cross,ga,myfun
上傳時(shí)間： 2014-01-18
上傳用戶：王者A
The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
標(biāo)簽： system compensation simulations experiment
上傳時(shí)間： 2015-08-26
上傳用戶：希醬大魔王
王小平《遺傳算法——理論、應(yīng)用與軟件實(shí)現(xiàn)》隨書(shū)光盤，內(nèi)容有： \GA 本書(shū)中所附源程序C或C++代碼文件及其可執(zhí)行文件 Scs.cpp 基本分類算法源程序，輸入數(shù)據(jù)文件cfile.txt,efile.txt,gfile.txt,pfile.txt,rfile.txt,tfile.txt Sga.c 基本遺傳算法源程序, 輸入數(shù)據(jù)文件input，輸出文件output A_life.c 基于遺傳算法的人工生命模擬源程序, 輸入數(shù)據(jù)文件world GA_nn.c 基于遺傳算法優(yōu)化神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)源程序,輸入數(shù)據(jù)文件sample Patmat.c 基于遺傳算法提取基元圖形源程序 \Sources 遺傳算法相關(guān)自由軟件及代碼
標(biāo)簽： 算法 光盤 軟件實(shí)現(xiàn)
上傳時(shí)間： 2013-12-14
上傳用戶：sz_hjbf
this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once) Notes: 1. Input error checking included 2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter , value
標(biāo)簽： Traveling Salesman solution Problem
上傳時(shí)間： 2013-12-22
上傳用戶：ruixue198909
JAGA提供了各種類型的遺傳算法和遺傳編程的Java API接口，非常容易上手和使用，有很多容易使用的GA和GP的算子用于擴(kuò)展，同時(shí)有指南和例子
上傳時(shí)間： 2014-01-12
上傳用戶：ljmwh2000
一個(gè)遺傳算法優(yōu)化神經(jīng)網(wǎng)絡(luò)權(quán)值的實(shí)例，包含了GA工具箱，和說(shuō)明文檔。
標(biāo)簽： 算法優(yōu)化 神經(jīng)網(wǎng)絡(luò)
上傳時(shí)間： 2015-10-10
上傳用戶：fanboynet
>項(xiàng)目名稱:電腦電子商務(wù)平臺(tái) >1.運(yùn)行環(huán)境JDK1.6+Oracle10g+Tomcat5.5 >2.開(kāi)發(fā)工具: MyEclipse Enterprise Workbench 項(xiàng)目名稱:電腦電子商務(wù)平臺(tái) 1.運(yùn)行環(huán)境JDK1.6+Oracle10g+Tomcat5.5 2.開(kāi)發(fā)工具: MyEclipse Enterprise Workbench 5.1.0 GA 3.開(kāi)發(fā)框架:Struts1.38+Ibertis2.3 4.功能描述: 項(xiàng)目后臺(tái)和前臺(tái).后臺(tái)是網(wǎng)站管理員對(duì)商務(wù)網(wǎng)的產(chǎn)品和商品的分類進(jìn)行管理,客戶的會(huì)員管理前臺(tái)顯示最新的產(chǎn)品信息,會(huì)員注冊(cè)登 陸后可以享用購(gòu)物車和網(wǎng)上訂購(gòu)產(chǎn)品功能. 使用說(shuō)明: 1.數(shù)據(jù)庫(kù)配置,在ORACLE10的客戶工具運(yùn)行ddl里的CREATE TABLE SHOP.sql創(chuàng)建數(shù)據(jù)庫(kù)表 2.用MyEclipse上傳項(xiàng)目到tomcat5.5中,然后啟動(dòng)tomcat. 3.系統(tǒng)后臺(tái)數(shù)據(jù)管URL是http://localhost:8080/omegshop/admin/adminLogin.jsp 默認(rèn)的用戶名是admin,密碼admin. 4.系統(tǒng)前臺(tái)URL是http://localhost:8080/omegshop/index.jsp, 注冊(cè)用戶名: member 密碼: member
標(biāo)簽： Enterprise MyEclipse Workbench gt
上傳時(shí)間： 2015-12-07
上傳用戶：onewq
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