Find values for best and mean fitness value for each generation in Genetic Algorithm

Question

Ankur Shah 2021-8-20

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1437364-find-values-for-best-and-mean-fitness-value-for-each-generation-in-genetic-algorithm

评论： Debaditya Gupta 2022-3-31

After running GA, using Optimization toolbox and code below, the following mean and best fitness value graph was obtained.

[x,fval,exitflag,output,population,score] = ...

ga(@revisepartialmodespring,nvars,[],[],[],[],lb,ub,[],[],options);

How to get the value of best fitness at each generation ?.. I wanted to show a comparison of the best fitness v/s generation for different problems on the same graph. Hence I need values to best fitness at each generation.

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

Debaditya Gupta 2022-3-31

How to get similar type of graph in Particle Swarm Optimization in matlab?

Matlab PSO script is showing only iteration vs best fitnes value, but mean fitness value is not showing

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Alan Weiss 2021-8-22

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1437364-find-values-for-best-and-mean-fitness-value-for-each-generation-in-genetic-algorithm#answer_772399

在 MATLAB Online 中打开

Use a Custom Output Function for Genetic Algorithm. Model it on the gaplotbestf plot function. To see that function,

edit gaplotbestf

Alan Weiss

MATLAB mathematical toolbox documentation

2 个评论
显示无隐藏无

Ankur Shah 2021-8-25

Thanks for reply. Could you help me with code. I have tried but am unable to save Generations v/s best fitness data.

Alan Weiss 2021-8-25

在 MATLAB Online 中打开

options = optimoptions("ga","OutputFcn",@gascoreoutfun);
rng default % For reproducibility
x = ga(@ps_example,2,[],[],[],[],[],[],[],[],options)
Optimization terminated: average change in the fitness value less than options.FunctionTolerance.
x = 1×2
   -4.6793   -0.0860
size(gapopulationhistory)
ans = 1×2
   122     2
function [state,options,optchanged] = gascoreoutfun(options,state,flag)
persistent history
optchanged = false;
switch flag
    case 'init'
        history = [min(state.Score),mean(state.Score)];
        assignin('base','gapopulationhistory',history);
    case 'iter'
        history = [history;min(state.Score),mean(state.Score)];
        assignin('base','gapopulationhistory',history);
    case 'done'
end
end