Decision Optimization

Decision Optimization

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


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  • 1.  Can you please help?

    Posted 10/18/12 06:48 AM

    Originally posted by: SystemAdmin


    Attached is a LP I solved through the callable library of CPLEX12.4 (Windows XP- Win32), and the optimal value it gives is:
    Z=0.00000270139
    In fact, this is a wrong answer, since the optimal value is Z = 0.55496106825, the same value that I obtained using CPLEX interactive optimizer.
    Can you please help to figure out the problem?
    #CPLEXOptimizers
    #DecisionOptimization


  • 2.  Re: Can you please help?

    Posted 10/18/12 07:18 AM

    Originally posted by: T_O


    In fact, there is no feasible solution with objective 0.00000270139.

    Could you post your C code and/or export a sav-file using CPXwriteprob and post it here?

    Best regards,
    Thomas
    #CPLEXOptimizers
    #DecisionOptimization


  • 3.  Re: Can you please help?

    Posted 10/18/12 10:29 PM

    Originally posted by: SystemAdmin


    Thank you for your prompt reply Thomas. I am attaching the sav-file.

    Best regards,

    Amar
    #CPLEXOptimizers
    #DecisionOptimization


  • 4.  Re: Can you please help?

    Posted 10/19/12 03:14 AM

    Originally posted by: T_O


    I'm sorry that I didn't realize it before, but your problem is infeasible (both lp and sav file). I also verified this for the LP file using an exact LP-reader and solver.

    In the infeasible case, I think the objective you obtain is undefined. In this case 0.554961 is the last objective before detecting dual infeasibility.

    Best regards,
    Thomas
    #CPLEXOptimizers
    #DecisionOptimization


  • 5.  Re: Can you please help?

    Posted 10/19/12 03:15 AM

    Originally posted by: T_O


    Sorry, I meant dual unboundedness, not dual infeasibility.
    #CPLEXOptimizers
    #DecisionOptimization


  • 6.  Re: Can you please help?

    Posted 10/19/12 05:37 AM

    Originally posted by: SystemAdmin


    Thank you so much Thomas.

    Amar
    #CPLEXOptimizers
    #DecisionOptimization