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how to choose weight for one of functions in multi-objective genetic algorithm Tool-box?

soheil kowsari さんによって質問されました 2018 年 12 月 22 日
最新アクティビティ Alan Weiss
さんによって 回答されました 2018 年 12 月 26 日
hi
i have two functions(f1,f2).i want to optimization functions with multi-objective genetic algorithm.i want,weight for f1 and f2 where f1=0.3 and f2=0.7
function f = simple_multiobjective222(x)
f(1) = 0.0002169*(x.^0.5)*(-1)*(10000);
f(2) = ((12.85)*(x.^(-1)))+((17.72)*(x.^0.5));
FitnessFunction = @simple_multiobjective222;
numberOfVariables = 1;
[x,fval] = gamultiobj(FitnessFunction,numberOfVariables);
size(x)
size(fval)
A = []; b = [];
Aeq = []; beq = [];
lb = 3;
ub = 17.55;
x = gamultiobj(FitnessFunction,numberOfVariables,A,b,Aeq,beq,lb,ub);
options = optimoptions(@gamultiobj,'PlotFcn',{@gaplotpareto,@gaplotscorediversity});
gamultiobj(FitnessFunction,numberOfVariables,[],[],[],[],lb,ub,options);
please help me.
thanks.

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1 件の回答

回答者: Alan Weiss
2018 年 12 月 26 日

Perhaps this example will help, especially the section Find Good Parameters from Plot.
But if I misunderstood what you were asking, please ask again, specifying more clearly what you want.
Alan Weiss
MATLAB mathematical toolbox documentation

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