Decision Optimization

Decision Optimization

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relaxed solution

  • 1.  relaxed solution

    Posted Sat February 21, 2015 03:09 PM

    Originally posted by: m.i.907


    Hi,

    I'm trying to solve a QCP and I get a relaxed solution. I'm almost sure that the model is feasible, so now I'm thinking if this happens because of quadratic constraints. Should I change some settings before solving the model?

    Thanks in advance.


    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 2.  Re: relaxed solution

    Posted Mon February 23, 2015 03:21 AM

    Hi

    you get some conflicts and that is why you get a relaxed solution.

    But if you comment cons2:

    //   forall (i in B, j in 1..12)
    //    cons2:
    //    p[i][j]<=(z[j]/dist[j,i])/e[i][j] ;  

    Then your model gets feasible.

    Since your model has only integer decision variables, you may also use CPO. For that, at the beginning of your model, simply write:

    using CP;

    regards


    #DecisionOptimization
    #OPLusingCPLEXOptimizer


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