Decision Optimization

Decision Optimization

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

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  • 1.  feasible solutions

    Posted Mon February 13, 2012 02:54 AM

    Originally posted by: SystemAdmin


    Hi
    I write C++ programes using ILOG CPLEX Concert Technology.
    I want to get a few of feasible solutions of model.
    But right now I can only get optimal solution.
    Which option should I use to get all feasible solutions?
    Now how can I do it ?
    Thanks!
    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 2.  Re: feasible solutions

    Posted Mon February 13, 2012 02:56 AM

    Originally posted by: John Cui


    Please refer to this part of our manual to find all feasible solutions:

    http://publib.boulder.ibm.com/infocenter/cosinfoc/v12r4/topic/ilog.odms.cplex.help/CPLEX/User_manual/topics/uss_solnpool_17.html
    John Cui

    PS. I have replied you in another thread, I don't why you post again.
    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 3.  Re: feasible solutions

    Posted Mon February 13, 2012 03:23 AM

    Originally posted by: SystemAdmin


    Thank you for your reply.
    I have do it: Ilocplex cplex(model).
    Can you tell me how can I do it "Set the absolute gap for solution pool parameter (SolnPoolAGap, CPX_PARAM_SOLNPOOLAGAP) to 0.0 (zero)."

    PS. If I just want two of feasible solutions to be displayed and saved in two arrays,how can I do it.
    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 4.  Re: feasible solutions

    Posted Mon February 13, 2012 02:58 AM

    Originally posted by: SystemAdmin


    I don`t konw.
    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 5.  Re: feasible solutions

    Posted Mon February 13, 2012 03:52 AM

    Originally posted by: SystemAdmin


    please help...thanks
    #DecisionOptimization
    #OPLusingCPLEXOptimizer


  • 6.  Re: feasible solutions

    Posted Wed February 15, 2012 08:25 AM

    Originally posted by: SystemAdmin


    Thanks!
    #DecisionOptimization
    #OPLusingCPLEXOptimizer