SGA（Simple Genetic Algorithm）是一種強(qiáng)大的智能多變量優(yōu)化算法，它模仿種群繁殖規(guī)律來進(jìn)行
優(yōu)化。
本SGA可以優(yōu)化變量，求最小值,最大值（當(dāng)把函數(shù)倒數(shù)也就求最小值啦）
并且支持浮點(diǎn)編碼，grey編碼，二進(jìn)制編碼；輪賭法選擇，錦標(biāo)賽選擇；單點(diǎn)交叉，均布交叉，浮點(diǎn)交叉；
單點(diǎn)變異，浮點(diǎn)變異；
調(diào)用時


SGA很簡單不能很好解決問題，如果需要其他版本的可以和我聯(lián)系。
if you get some problems,you can email to me
and if you want other advanced algorithm,i can contribute them.
everyday i can response to u.
xihuabin@tom.com
shoppingxo@163.net
qq:10901831
Xi Huabin（席華彬）

si vous avons quelquels problèmes,vous pouvez me donner votre Emails;
je peux recevoir Emails tous les jours,
et si vous voulez les nouvelles versions,pas problème!je vous les donne;
  

環(huán)境：MATLAB6.5+ToolBox

使用說明：
1，首先在TestGA.m文件
修改參數(shù)
例一
GAPara.MaxGen   =100;
                              % maximum generation
GAPara.SizePop  =200;
                              % size of population 
GAPara.StrAimFcn='AimFcn';
                              % this is function of counting fitness
GAPara.CodeFcn  ='float';
                              % method of coding， you can choose 'float';'grey';'binary' 
GAPara.SelectFcn='roulette';
                              % method of select  you can choose 'tournament';'roulette'
GAPara.CrossFcn ='float';
                              % method of crossover 
GAPara.PCross   =[0.7];
                              % probablity of crossover,between 0 and 1
GAPara.MutationFcn='float';
                              % method of mutation
GAPara.PMutation=[0.01];
                              % probability of mutation,between 0 and 1 
GAPara.LenChrom =[1 1];
                              % length of bit of every varible
GAPara.Bound    =[-10 10;-10 10];
                              % bounary of every variable

選擇了浮點(diǎn)編碼，tournament選擇，浮點(diǎn)交叉，浮點(diǎn)變異。
注：采用浮點(diǎn)編碼時，以后的交叉，變異只能是浮點(diǎn)，且lenchrom向量中都為1，向量長度為待優(yōu)化變量個數(shù)。
bound為各個變量的范圍


例二
GAPara.MaxGen   =100;
                              % maximum generation
GAPara.SizePop  =200;
                              % size of population 
GAPara.StrAimFcn='AimFcn';
                              % this is function of counting fitness
GAPara.CodeFcn  ='binary';
                              % method of coding， you can choose 'float';'grey';'binary' 
GAPara.SelectFcn='tournament';
                              % method of select  you can choose 'tournament';'roulette'
GAPara.CrossFcn ='uniform';
                              % method of crossover 
GAPara.PCross   =[0.7];
                              % probablity of crossover,between 0 and 1
GAPara.MutationFcn='simple';
                              % method of mutation
GAPara.PMutation=[0.01];
                              % probability of mutation,between 0 and 1 
GAPara.LenChrom =[10 10];
                              % length of bit of every varible
GAPara.Bound    =[-10 10;-10 10];
                              % bounary of every variable
選擇了二進(jìn)制編碼，tournament選擇，均布交叉，單點(diǎn)變異。
注：采用二進(jìn)制編碼和grey編碼時，交叉方法只能是simple，uniform，變異方法只能是simple
lenchrom向量中表示變量表示成二進(jìn)制的位數(shù)。

例三
GAPara.MaxGen   =100;
                              % maximum generation
GAPara.SizePop  =200;
                              % size of population 
GAPara.StrAimFcn='AimFcn';
                              % this is function of counting fitness
GAPara.CodeFcn  ='grey';
                              % method of coding， you can choose 'float';'grey';'binary' 
GAPara.SelectFcn='roulette';
                              % method of select  you can choose 'tournament';'roulette'
GAPara.CrossFcn ='uniform';
                              % method of crossover 
GAPara.PCross   =[0.7];
                              % probablity of crossover,between 0 and 1
GAPara.MutationFcn='simple';
                              % method of mutation
GAPara.PMutation=[0.01];
                              % probability of mutation,between 0 and 1 
GAPara.LenChrom =[10 10];
                              % length of bit of every varible
GAPara.Bound    =[-10 10;-10 10];
                              % bounary of every variable
選擇了grey編碼，roulette選擇，均布交叉，單點(diǎn)變異。

2，然后在AimFcn.m中給出目標(biāo)函數(shù)
目標(biāo)函數(shù)名可以自己定，例如aim（x），參數(shù)只能是x，它是向量啦。
象u=x+y+z等函數(shù)，就用x(1),x(2),x(3)表示x,y,z 啦。

3,運(yùn)行TestGA.m文件就可以了。