Genetic algorithm hybrid scheme with integer constraints
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IntCon = 3;
nonlcon = @yueshu;
options = optimoptions('ga','PlotFcn',{@gaplotbestf,@gaplotstopping},'Display','diagnose',...
'MaxStallGenerations',5,'FunctionTolerance',1e-3,'MaxGenerations',100,'PopulationSize',100,'EliteCount',10,'CrossoverFraction',0.8,...
'UseVectorized',false);
fun = @youhua_ga0201;
lb = [0.0002 0.0002 5];
ub = [0.001 0.002 19];
rng default % For reproducibility
[x,fval,exitflag,output] = ga(fun,3,[],[],[],[],lb,ub,nonlcon,IntCon,options)
In this code, there is an integer constraint, I want to improve the genetic algorithm to use the mixing scheme in the optimization toolbox, but because of the integer constraint, the runtime is warned to ignore the mixing function, how to solve it?
2 Kommentare
Alan Weiss
am 14 Apr. 2023
This seems to be the same question as https://www.mathworks.com/matlabcentral/answers/1944489-when-the-genetic-algorithm-has-integer-constraint-issues-how-to-customize-the-variogram-to-eliminat#answer_1212834
As I told you there, you need a version of MATLAB of R2021b or later in order to have a custom crossover, mutation, or creation function. Is there something else that you are asking that is different?
Alan Weiss
MATLAB mathematical toolbox documentation
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