Decision Optimization

Decision Optimization

Delivers prescriptive analytics capabilities and decision intelligence to improve decision-making.

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Defining the decision variables

  • 1.  Defining the decision variables

    Posted Mon March 14, 2016 02:54 AM

    Originally posted by: sandeepsinghchauhan


     


    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 2.  Re: Defining the decision variables

    Posted Mon March 14, 2016 03:24 AM

    Hi,

    I fixed some syntax errors:

    range C = 1..5;

    range D = 1..10;
     
     {int} E[C][D] =
    [[{1,2,3,4,5},{1,2,3,4,5,6,7,8,9,10}]];

    {int} unionE= union (c in C,d in D) E[c][d];

    execute
    {
    unionE;
    }

     

    float IN[c in C][d in D]=c*d*0.34;

    tuple t
    {
    int c;
    int d;
    int e;

    float k;
    }

    {t} s={<c,d,e,IN[c][d]> | c in C,d in D, e in E[c,d]};


    execute {

    writeln(s);
    }

     float M[c in C ,d in D,e in unionE]=max(<c,d,e,k> in s) k;

    dvar float+ X[c in C ,d in D,e in unionE] in 0..M[c][d][e];

     

    dexpr float X1[d in D] = sum (c in C, e in unionE) (X[c][d][e]);

    dexpr float object = sum(d in D)(18*(X1[d]));

    maximize object;

    subject to
    {

    }

     

    regards


    #DecisionOptimization
    #OPLusingCPLEXOptimizer