Originally posted by: SystemAdmin

int D=1;
float d=0.1;
int C=30;

dvar float xs;
dvar float ys;

int xhttp://1..3=0,10,0;
int yhttp://1..3=0,0,10;

int P1=1000;
int P2=500;

maximize
P2*(1+d)^(-sum (i in 1..3)((xs-x[i])^2+(ys-y[i])^2)^0.5)+P2*(1+d)^(-sum (i in 1..2)((xs-x[i])^2+(ys-y[i])^2)^0.5)
- C*(1+d)^(-sum (i in 1..3)((xs-x[i])^2+(ys-y[i])^2)^0.5) ;

subject to{
0<= xs <=10;
0<= ys <=10;

}
#DecisionOptimization
#MathematicalProgramming-General

Hi,

do you mean you'd like CPLEX to handle this objective?

Regards
#DecisionOptimization
#MathematicalProgramming-General

Originally posted by: SystemAdmin

How do I change the objective function where it reads by the CPLEX?
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#MathematicalProgramming-General

Originally posted by: SystemAdmin

Do I read correctly that you want to have decision variables in the exponent of expressions? That is not supported.
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#MathematicalProgramming-General

Originally posted by: SystemAdmin

Then,How do I change the objective?
#DecisionOptimization
#MathematicalProgramming-General

Hi,

using the constraint programming engine could be an option?

using CP;   

int scale=10;   

int D=1; 

float d=0.1; 

int C=30;   execute 
{ cp.param.timelimit=10; 
}     dvar 

int xs2 in -1000*scale..1000*scale; dvar 

int ys2 in -1000*scale..1000*scale;     dexpr 

float xs=xs2/scale;; dexpr  

float ys=ys2/scale;   

int x[1..3]=[0,10,10]; 

int y[1..3]=[0,10,0];   

int P1=1000; 

int P2=500;   maximize P2*(1+d)^(-sum (i in 1..3)((xs-x[i])^2+(ys-y[i])^2)^0.5)+P2*(1+d)^(-sum (i in 1..2)((xs-x[i])^2+(ys-y[i])^2)^0.5) - C*(1+d)^(-sum (i in 1..3)((xs-x[i])^2+(ys-y[i])^2)^0.5) ;   subject to
{ 0<= xs <=10; 0<= ys <=10;   
}

regards
#DecisionOptimization
#MathematicalProgramming-General