gaot遗传算法工具箱

‘壹’ matlab遗传算法工具箱函数的参数问题

这个100在这里是起到限定条件的作用。如果g1>0或者g2>0这种情况，就不进行计算了，直接给出误差值100，这样，g1>0或者g2>0这种情况基本上就排除了，因为误差值非常高。这个数值可以改，改的比较大就可以了。目的是把结果中的g1>0和g2>0情况去掉。
initialPopulation是第一代种群的意思，这个数值就是
遗传算法
起点的位置。这个值怎么取没有固定的说法，如果你想手动赋值而不是让计算机自己生成，
那么你需要创建一个矩阵，行数等于populationSize，就是种群数量，列数等于输入变量的数量，在你的例子中是2。
初始值的作用很大，越复杂的模型，对于初值的要求就越高。

‘贰’ matlab6.5+gaot工具箱和matlab7.0自带工具箱的效果一样吗

matlab7.0自带的工具箱版本未必都是7.0，我的这台电脑装的也是6.5，看看它的版本吧。
-------------------------------------------------------------------------------------
MATLAB Version 6.5.0.180913a (R13)
MATLAB License Number: 0
Operating System: Microsoft Windows 98 Version 4.10 (Build 2222: A )
Java VM Version: Java 1.3.1_01 with Sun Microsystems Inc. Java HotSpot(TM) Client VM
-------------------------------------------------------------------------------------
MATLAB Version 6.5 (R13)
Simulink Version 5.0 (R13)
Aerospace Blockset Version 1.0.1 (R13)
CDMA Reference Blockset Version 1.1 (R13)
Communications Blockset Version 2.5 (R13)
Communications Toolbox Version 2.1 (R13)
Control System Toolbox Version 5.2 (R13)
Curve Fitting Toolbox Version 1.1 (R13)
DSP Blockset Version 5.0 (R13)
Data Acquisition Toolbox Version 2.2 (R13)
Database Toolbox Version 2.2.1 (R13)
Datafeed Toolbox Version 1.3.1 (R13)
Dials & Gauges Blockset Version 1.1.2 (R13)
Embedded Target for Motorola MPC555 Version 1.0.1 (R13)
Embedded Target for Texas Instrumen... Version 1.0 (R13)
Excel Link Version 2.0 (R13)
Filter Design Toolbox Version 2.2 (R13)
Financial Derivatives Toolbox Version 2.0 (R13)
Financial Time Series Toolbox Version 2.0 (R13)
Financial Toolbox Version 2.2.1 (R13)
Fixed-Point Blockset Version 4.0 (R13)
Fuzzy Logic Toolbox Version 2.1.2 (R13)
GARCH Toolbox Version 1.0.2 (R13)
Image Processing Toolbox Version 3.2 (R13)
Instrument Control Toolbox Version 1.2 (R13)
LMI Control Toolbox Version 1.0.8 (R13)
MATLAB COM Builder Version 1.0 (R13)
MATLAB Compiler Version 3.0 (R13)
MATLAB Excel Builder Version 1.1 (R13)
MATLAB Link for Code Composer Studi... Version 1.0 (R13)
MATLAB Report Generator Version 1.3 (R13)
MATLAB Runtime Server Development Kit Version 6.1.1 (R13)
Mapping Toolbox Version 1.3 (R13)
Model Predictive Control Toolbox Version 1.0.7 (R13)
Model-Based Calibration Toolbox Version 1.1 (R13)
Mu-Analysis and Synthesis Toolbox Version 3.0.7 (R13)
Neural Network Toolbox Version 4.0.2 (R13)
Nonlinear Control Design Blockset Version 1.1.6 (R13)
Optimization Toolbox Version 2.2 (R13)
Partial Differential Equation Toolbox Version 1.0.4 (R13)
Real-Time Windows Target Version 2.2 (R13)
Real-Time Workshop Version 5.0 (R13)
Real-Time Workshop Embedded Coder Version 3.0 (R13)
Requirements Management Interface Version 1.0.4 (R13)
Robust Control Toolbox Version 2.0.9 (R13)
SB2SL (converts SystemBuild to Simu... Version 2.5 (R13)
Signal Processing Toolbox Version 6.0 (R13)
SimMechanics Version 1.1 (R13)
SimPowerSystems Version 2.3 (R13)
Simulink Performance Tools Version 1.2 (R13)
Simulink Report Generator Version 1.3 (R13)
Spline Toolbox Version 3.1.1 (R13)
Stateflow Version 5.0 (R13)
Stateflow Coder Version 5.0 (R13)
Statistics Toolbox Version 4.0 (R13)
Symbolic Math Toolbox Version 2.1.3 (R13)
System Identification Toolbox Version 5.0.2 (R13)
Virtual Reality Toolbox Version 3.0 (R13)
Wavelet Toolbox Version 2.2 (R13)
xPC Target Version 2.0 (R13)
xPC Target Embedded Option Version 2.0 (R13)

所以，不要迷信新版本，够用就行。
以下是2006b版本的。
>> ver
-------------------------------------------------------------------------------------
MATLAB Version 7.3.0.267 (R2006b)
MATLAB License Number: 32684
Operating System: Microsoft Windows XP Version 5.1 (Build 2600: Service Pack 2)
Java VM Version: Java 1.5.0 with Sun Microsystems Inc. Java HotSpot(TM) Client VM mixed mode
-------------------------------------------------------------------------------------
MATLAB Version 7.3 (R2006b)
Simulink Version 6.5 (R2006b)
Aerospace Blockset Version 2.2 (R2006b)
Aerospace Toolbox Version 1.0 (R2006b)
Bioinformatics Toolbox Version 2.4 (R2006b)
Communications Blockset Version 3.4 (R2006b)
Communications Toolbox Version 3.4 (R2006b)
Control System Toolbox Version 7.1 (R2006b)
Curve Fitting Toolbox Version 1.1.6 (R2006b)
Data Acquisition Toolbox Version 2.9 (R2006b)
Database Toolbox Version 3.2 (R2006b)
Datafeed Toolbox Version 1.9 (R2006b)
Distributed Computing Toolbox Version 3.0 (R2006b)
Embedded Target for Infineon C166 Microcontrollers Version 1.3 (R2006b)
Embedded Target for Motorola HC12 Version 1.1.5 (R2006b)
Embedded Target for Motorola MPC555 Version 2.0.5 (R2006b)
Embedded Target for TI C2000 DSP(tm) Version 2.1 (R2006b)
Embedded Target for TI C6000 DSP(tm) Version 3.1 (R2006b)
Excel Link Version 2.4 (R2006b)
Extended Symbolic Math Toolbox Version 3.1.5 (R2006b)
Filter Design HDL Coder Version 1.5 (R2006b)
Filter Design Toolbox Version 4.0 (R2006b)
Financial Derivatives Toolbox Version 4.1 (R2006b)
Financial Toolbox Version 3.1 (R2006b)
Fixed-Income Toolbox Version 1.2 (R2006b)
Fixed-Point Toolbox Version 1.5 (R2006b)
Fuzzy Logic Toolbox Version 2.2.4 (R2006b)
GARCH Toolbox Version 2.3 (R2006b)
Gauges Blockset Version 2.0.4 (R2006b)
Genetic Algorithm and Direct Search Toolbox Version 2.0.2 (R2006b)
Image Acquisition Toolbox Version 2.0 (R2006b)
Image Processing Toolbox Version 5.3 (R2006b)
Instrument Control Toolbox Version 2.4.1 (R2006b)
Link for Code Composer Studio Version 2.1 (R2006b)
Link for ModelSim Version 2.1 (R2006b)
Link for TASKING Version 1.0.1 (R2006b)
MATLAB Builder for .NET Version 2.1 (R2006b)
MATLAB Builder for Excel Version 1.2.7 (R2006b)
MATLAB Builder for Java Version 1.0 (R2006b)
MATLAB Compiler Version 4.5 (R2006b)
MATLAB Distributed Computing Engine Version 3.0 (R2006b)
MATLAB Report Generator Version 3.1 (R2006b)
Mapping Toolbox Version 2.4 (R2006b)
Model Predictive Control Toolbox Version 2.2.3 (R2006b)
Model-Based Calibration Toolbox Version 3.1 (R2006b)
Neural Network Toolbox Version 5.0.1 (R2006b)
OPC Toolbox Version 2.0.3 (R2006b)
Optimization Toolbox Version 3.1 (R2006b)
Partial Differential Equation Toolbox Version 1.0.9 (R2006b)
RF Blockset Version 1.3.1 (R2006b)
RF Toolbox Version 2.0 (R2006b)
Real-Time Windows Target Version 2.6.2 (R2006b)
Real-Time Workshop Version 6.5 (R2006b)
Real-Time Workshop Embedded Coder Version 4.5 (R2006b)
Robust Control Toolbox Version 3.1.1 (R2006b)
Signal Processing Blockset Version 6.4 (R2006b)
Signal Processing Toolbox Version 6.6 (R2006b)
SimBiology Version 2.0.1 (R2006b)
SimDriveline Version 1.2.1 (R2006b)
SimEvents Version 1.2 (R2006b)
SimHydraulics Version 1.1 (R2006b)
SimMechanics Version 2.5 (R2006b)
SimPowerSystems Version 4.3 (R2006b)
Simulink Accelerator Version 6.5 (R2006b)
Simulink Control Design Version 2.0.1 (R2006b)
Simulink Fixed Point Version 5.3 (R2006b)
Simulink HDL Coder Version 1.0 (R2006b)
Simulink Parameter Estimation Version 1.1.4 (R2006b)
Simulink Report Generator Version 3.1 (R2006b)
Simulink Response Optimization Version 3.1 (R2006b)
Simulink Verification and Validation Version 2.0 (R2006b)
Spline Toolbox Version 3.3.1 (R2006b)
Stateflow Version 6.5 (R2006b)
Stateflow Coder Version 6.5 (R2006b)
Statistics Toolbox Version 5.3 (R2006b)
Symbolic Math Toolbox Version 3.1.5 (R2006b)
System Identification Toolbox Version 6.2 (R2006b)
SystemTest Version 1.0.1 (R2006b)
Video and Image Processing Blockset Version 2.2 (R2006b)
Virtual Reality Toolbox Version 4.4 (R2006b)
Wavelet Toolbox Version 3.1 (R2006b)
xPC Target Version 3.1 (R2006b)
xPC Target Embedded Option Version 3.1 (R2006b)

Trademarks
------------------
MATLAB, Simulink, Stateflow, Handle Graphics, Real-Time Workshop, and xPC
TargetBox are registered trademarks of The MathWorks, Inc. Other proct or
brand names are trademarks or registered trademarks of their respective holders.

可以看出，有些是升级的，有些还是以前版本的。

‘叁’ Matlab中关于遗传算法调用gaot工具时如何配置(添加)该工具箱

网络里面有，刚才我用起了http://wenku..com/view/a18b6c15b7360b4c2e3f648c.html 希望能起作用

‘肆’ 遗传算法工具箱是什么

遗传工具箱是MATLAB中的一个工具，主要是用来求解优化问题的

‘伍’ 遗传算法工具箱的具体使用

matlab遗传算法工具箱函数及实例讲解 核心函数：
(1)function [pop]=initializega(num,bounds,eevalFN,eevalOps,options)--初始种群的生成函数
【输出参数】
pop--生成的初始种群
【输入参数】
num--种群中的个体数目
bounds--代表变量的上下界的矩阵
eevalFN--适应度函数
eevalOps--传递给适应度函数的参数
options--选择编码形式(浮点编码或是二进制编码)[precision F_or_B],如
precision--变量进行二进制编码时指定的精度
F_or_B--为1时选择浮点编码，否则为二进制编码,由precision指定精度)
(2)function [x,endPop,bPop,traceInfo] = ga(bounds,evalFN,evalOps,startPop,opts,...
termFN,termOps,selectFN,selectOps,xOverFNs,xOverOps,mutFNs,mutOps)--遗传算法函数
【输出参数】
x--求得的最优解
endPop--最终得到的种群
bPop--最优种群的一个搜索轨迹
【输入参数】
bounds--代表变量上下界的矩阵
evalFN--适应度函数
evalOps--传递给适应度函数的参数
startPop-初始种群
opts[epsilon prob_ops display]--opts(1:2)等同于initializega的options参数，第三个参数控制是否输出，一般为0。如[1e-6 1 0]
termFN--终止函数的名称,如['maxGenTerm']
termOps--传递个终止函数的参数,如[100]
selectFN--选择函数的名称,如['normGeomSelect']
selectOps--传递个选择函数的参数,如[0.08]
xOverFNs--交叉函数名称表，以空格分开，如['arithXover heuristicXover simpleXover']
xOverOps--传递给交叉函数的参数表，如[2 0;2 3;2 0]
mutFNs--变异函数表，如['boundaryMutation multiNonUnifMutation nonUnifMutation unifMutation']
mutOps--传递给交叉函数的参数表,如[4 0 0;6 100 3;4 100 3;4 0 0]
【问题】求f(x)=x+10*sin(5x)+7*cos(4x)的最大值，其中0<=x<=9
【分析】选择二进制编码，种群中的个体数目为10，二进制编码长度为20，交叉概率为0.95,变异概率为0.08
【程序清单】
%编写目标函数
function[sol,eval]=fitness(sol,options)
x=sol(1);
eval=x+10*sin(5*x)+7*cos(4*x);
%把上述函数存储为fitness.m文件并放在工作目录下
initPop=initializega(10,[0 9],'fitness');%生成初始种群，大小为10
[x endPop,bPop,trace]=ga([0 9],'fitness',[],initPop,[1e-6 1 1],'maxGenTerm',25,'normGeomSelect',...
[0.08],['arithXover'],[2],'nonUnifMutation',[2 25 3]) %25次遗传迭代
运算借过为：x =
7.8562 24.8553(当x为7.8562时，f（x）取最大值24.8553)
注：遗传算法一般用来取得近似最优解，而不是最优解。
遗传算法实例2
【问题】在－5<=Xi<=5,i=1,2区间内，求解
f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。
【分析】种群大小10，最大代数1000，变异率0.1,交叉率0.3
【程序清单】
％源函数的matlab代码
function [eval]=f(sol)
numv=size(sol,2);
x=sol(1:numv);
eval=-20*exp(-0.2*sqrt(sum(x.^2)/numv)))-exp(sum(cos(2*pi*x))/numv)+22.71282;
%适应度函数的matlab代码
function [sol,eval]=fitness(sol,options)
numv=size(sol,2)-1;
x=sol(1:numv);
eval=f(x);
eval=-eval;
%遗传算法的matlab代码
bounds=ones(2,1)*[-5 5];
[p,endPop,bestSols,trace]=ga(bounds,'fitness')
注：前两个文件存储为m文件并放在工作目录下，运行结果为
p =
0.0000 -0.0000 0.0055
大家可以直接绘出f(x)的图形来大概看看f（x）的最值是多少，也可是使用优化函数来验证。matlab命令行执行命令：
fplot('x+10*sin(5*x)+7*cos(4*x)',[0,9])

‘陆’ 怎么调用matlab遗传算法工具箱啊

直接在命令窗口里边输入gatool就行了，用遗传算法还可以使用ga函数，具体使用格式可以在help系统里看ga，你还可以按照如下步骤打开遗传算法工具箱：1，打开matlab，2点击左下方的start按钮
3，点toolboxes，打开后选择genetic
algorithm
and
direct
search
然后就可以进入gatool了，然后就会弹出ga工具箱（注：我的版本是7.7的，不同版本可能不同），希望对你有用哈！