Find values for best and mean fitness value for each generation in Genetic Algorithm
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Ankur Shah
el 20 de Ag. de 2021
Comentada: Debaditya Gupta
el 31 de Mzo. de 2022
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 comentario
Debaditya Gupta
el 31 de Mzo. de 2022
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
Respuesta aceptada
Alan Weiss
el 22 de Ag. de 2021
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 comentarios
Alan Weiss
el 25 de Ag. de 2021
options = optimoptions("ga","OutputFcn",@gascoreoutfun);
rng default % For reproducibility
x = ga(@ps_example,2,[],[],[],[],[],[],[],[],options)
size(gapopulationhistory)
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
Alan Weiss
MATLAB mathematical toolbox documentation
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