Dear friends
I am trying to do multi-objective optimization with the weighted sum -method
,but I could not able to find Pareto set solution between two conflict objective,
from my point of view,maybe there are two problem :
the first one is incorrect parameters
the second one is wrong code about multi-objective optimization
about the second issue I am not sure that I have write correct code for multi -objective
,below is some part of my code I am appreciate for any help from you
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objective1.. z1=e=1-d1("k1","j1")+1-d2("k1","j2");
objective2.. z2=e=c("j1","l1")*dem("l1")*x("j1","l1")+ c("j1","l2")*dem("l2")*x("j1","l2")+f("k1","j1")*y("k1","j1")+c("j2","l1")*dem("l1")*x("j2","l1")+ c("j2","l2")*dem("l2")*x("j2","l2")+f("k1","j2")*y("k1","j2");
objective3.. z3=e=0.1*z1-0.9*z2;
models multiplierCCR_model1/objective3,objective2,objective1,const1,const2,const21,const22,const23,const25,const51,const52,const3,const4,const5,const61,const7,const8,const9,const10, const512, const513, const514/ ;
Solve MultiplierCCR_model1 using MINLP Maximizing z1;
Solve MultiplierCCR_model1 using MINLP Minimizing z2;
Solve MultiplierCCR_model1 using MINLP Maximizing z3;
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actually I have done three objective,including two conflict objective and composite one in one model,but I define three SOLVE function at the end of my programme.
I have used the weighted sum method for composting objective