Hi,

let s go on with https://www.linkedin.com/pulse/what-optimization-how-can-help-you-do-more-less-zoo-buses-fleischer/

On top of model files (.mod) and data files (.dat) we can also add settings to tell CPLEX how to behave.

We have several options:

1) Through scripting in OPL

execute
{
cplex.tilim=20;
}

int nbKids=300;
float costBus40=500;
float costBus30=400;
 
dvar int+ nbBus40;
dvar int+ nbBus30;
 
minimize
 costBus40*nbBus40  +nbBus30*costBus30;
 
subject to
{
 40*nbBus40+nbBus30*30>=nbKids;

}

execute
{
writeln("time limit = ",cplex.tilim);

}

which gives

 

// solution (optimal) with objective 3800
time limit = 20

2) We can use a settings file (.ops)

 

and then you add the .ops to the run configuration

 

and then with zoo.mod

int nbKids=300;
float costBus40=500;
float costBus30=400;
 
dvar int+ nbBus40;
dvar int+ nbBus30;
 
minimize
 costBus40*nbBus40  +nbBus30*costBus30;
 
subject to
{
 40*nbBus40+nbBus30*30>=nbKids;

}

execute
{
writeln("time limit = ",cplex.tilim);

}

we ll get

// solution (optimal) with objective 3800
time limit = 20

3) You may also read a .ops file from the flow control part (main)

int nbKids=300;
float costBus40=500;
float costBus30=400;
 
dvar int+ nbBus40;
dvar int+ nbBus30;
 
minimize
 costBus40*nbBus40  +nbBus30*costBus30;
 
subject to
{
 40*nbBus40+nbBus30*30>=nbKids;

}

execute
{
writeln("time limit = ",cplex.tilim);

}

 

 
 main
 {
 thisOplModel.generate();
 cplex.solve();
 thisOplModel.postProcess();
 thisOplModel.applyOpsSettings(null, thisOplModel.resolvePath("zoo.ops"));
 cplex.solve();
 thisOplModel.postProcess();
}

which gives

time limit = 2147483647
time limit = 20

regards

 

Many other simple OPL examples at https://www.linkedin.com/pulse/making-decision-optimization-simple-alex-fleischer/

 

#DecisionOptimization
#OPLusingCPLEXOptimizer