Decision Optimization

Decision Optimization

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  • 1.  Bound infeasibility column 'IloX78'

    Posted 08/07/12 09:40 AM

    Originally posted by: LRAU


    Hello,

    I'm using CPlex and Java to implement a MILP. However, when I try to run the programm, I get the following error message:
    Bound infeasability column 'IloX78'.
    Presolve time = 0.00 sec.
    I have no idea what this error message means, I cannot find anything concerning that topic in the reference manual. I don't even know how to find out which column is meant by column'IloX78'.
    Can anybody help me with that?

    Thanks
    #CPLEXOptimizers
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  • 2.  Re: Bound infeasibility column 'IloX78'

    Posted 08/07/12 05:36 PM

    Originally posted by: SystemAdmin


    > LRAU wrote:
    > Bound infeasability column 'IloX78'.
    > Presolve time = 0.00 sec.
    > I have no idea what this error message means, I cannot find anything concerning that topic in the reference manual..

    I think it means that the presolver determined that some combination of constraints and bounds implies that IloX78 would have to take a value violating one of its bounds. In other words, your model is infeasible (or at least the presolver thinks it is).

    > I don't even know how to find out which column is meant by column'IloX78'.
    > Can anybody help me with that?

    You can assign names to variables, constraints, objective functions and pretty much anything in a model. Typically the constructors have versions that include a string argument for the name. Alternatively, after you've declared an object, you can invoke its setName method and tack on a name that way. Once you've assigned names that are meaningful to you, the error message will use your assigned name.

    Paul

    Mathematicians are like Frenchmen: whenever you say something to them, they translate it into their own language, and at once it is something entirely different. (Goethe)
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  • 3.  Re: Bound infeasibility column 'IloX78'

    Posted 08/08/12 04:25 AM

    Originally posted by: LRAU


    Hello Paul,

    thank you very much! Assigning names has proved to be very helpful!
    #CPLEXOptimizers
    #DecisionOptimization