MATLAB数学建模(9)-遗传算法工具

MATLAB自带的遗传算法工具箱是GADS,输入help ga即可看到ga的用法,ga函数最完整的格式是[X,FVAL,EXITFLAG,OUTPUT,POPULATION,SCORES]=GA(FITNESSFCN,NVARS,A,b,Aeq,beq,lb,ub,NONLCON,options),
如计算函数y=100*(x1^2 – x2)^2 + (1-x2)^2的最大值,x1和x2都在范围[-2.048,2.048]内:

>> [x,val,flag,output,population,scores]=ga(@(x)-100*(x(1)^2-x(2))^2-(1-x(1))^2, 2, [],[],[],[],[-2.048, -2.048], [2.048, 2.048]) 
Optimization terminated: average change in the fitness value less than options.TolFun.

x =

    2.0480   -2.0466


val =

  -3.8960e+03 

flag =

     1


output = 

      problemtype: 'boundconstraints'
         rngstate: [1x1 struct]
      generations: 51
        funccount: 1040
          message: [1x86 char]
    maxconstraint: 0


population =

    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0434
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0466
    2.0480   -2.0427
    2.0441   -2.0463
    2.0480   -2.0466
    2.0475   -2.0427


scores =

   1.0e+03 *

   -3.8960    -3.8960    -3.8960    -3.8960    -3.8960    -3.8960    -3.8960    -3.8918    -3.8959    -3.8960    -3.8960    -3.8960    -3.8959    -3.8960    -3.8959    -3.8960    -3.8911    -3.8757    -3.8959    -3.8883

另外,输入ga可以直接在图形界面上进行操作。

    原文作者:遗传算法
    原文地址: https://blog.csdn.net/qq_23851075/article/details/52461765
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