Genetic algorithm hybrid scheme with integer constraints
18 次查看(过去 30 天)
显示 更早的评论
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 个评论
Alan Weiss
2023-4-14
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
回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Genetic Algorithm 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!