readme.m

#include "stdio.h" #include "math.h" #include "malloc.h" #include "string.h" #define m 6 #defin

 SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。
   本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异.
  调用时:
Genetic（目标函数名）
if you get some problems,you can email to me
[e-mail]
qq:10901831
Xi Huabin（席华彬）


使用环境：MATLAB6.5+ToolBox
使用SGA时:
首先需要一个目标函数（像AimFunc.m），该函数返回适应度
输入变量为待优化变量x
输出为一个适应度。



然后
修改Genetic.m中可以修改的地方
例一
maxgen=200;                         % maximum generation
sizepop=100;                        % size of population 
AimFunc=StrAimFunc;                 % this is function of counting fitness
fselect='tournament';               % method of select
                                    % you can choose 'tournament';'roulette'
fcode='float';                      % method of coding
                                    % you can choose 'float';'grey';'binary' 
pcross=[0.6];                       % probablity of crossover,between 0 and 1
fcross='float';                     % method of crossover
                                    % you can choose 'float';'simple';'uniform'
pmutation=[0.2];                    % probability of mutation,between 0 and 1 
fmutation='float';                  % method of mutation
                                    % you can choose 'float';'simple';

lenchrom=[1 1 1 1 1];               % length of bit of every varible
bound=[0 1;...
        0 1;...
        0 1;...
        0 1;...
        0 1];
选择了浮点编码，tournament选择，浮点交叉，浮点变异。
注：采用浮点编码时，以后的交叉，变异只能是浮点，且lenchrom向量中都为1，向量长度为待优化变量个数。
bound为各个变量的范围


例二
maxgen=200;                         % maximum generation
sizepop=100;                        % size of population 
AimFunc=StrAimFunc;                 % this is function of counting fitness
fselect='tournament';               % method of select
                                    % you can choose 'tournament';'roulette'
fcode='binary';                     % method of coding
                                    % you can choose 'float';'grey';'binary' 
pcross=[0.6];                       % probablity of crossover,between 0 and 1
fcross='uniform';                   % method of crossover
                                    % you can choose 'float';'simple';'uniform'
pmutation=[0.2];                    % probability of mutation,between 0 and 1 
fmutation='simple';                 % method of mutation
                                    % you can choose 'float';'simple';

lenchrom=[10 10 10 10 10];          % length of bit of every varible
bound=[0 1;...
        0 1;...
        0 1;...
        0 1;...
        0 1];
选择了二进制编码，tournament选择，均布交叉，单点变异。
注：采用二进制编码和grey编码时，交叉方法只能是simple，uniform，变异方法只能是simple
lenchrom向量中表示变量表示成二进制的位数。

例三
maxgen=200;                         % maximum generation
sizepop=100;                        % size of population 
AimFunc=StrAimFunc;                 % this is function of counting fitness
fselect='roulette';                 % method of select
                                    % you can choose 'tournament';'roulette'
fcode='grey';                       % method of coding
                                    % you can choose 'float';'grey';'binary' 
pcross=[0.6];                       % probablity of crossover,between 0 and 1
fcross='uniform';                   % method of crossover
                                    % you can choose 'float';'simple';'uniform'
pmutation=[0.2];                    % probability of mutation,between 0 and 1 
fmutation='simple';                 % method of mutation
                                    % you can choose 'float';'simple';

lenchrom=[10 10 10 10 10];          % length of bit of every varible
bound=[0 1;...
        0 1;...
        0 1;...
        0 1;...
        0 1];
选择了grey编码，roulette选择，均布交叉，单点变异。