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Modelling discrete optimisation problems inconstraint logic programming

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  • Peter Barth
  • Alexander Bockmayr

Abstract

Constraint logic programming has become a promising new technology for solving complexcombinatorial problems. In this paper, we investigate how (constraint) logic programmingcan support the modelling part when solving discrete optimisation problems. First, we showthat the basic functionality of algebraic modelling languages can be realised very easily ina pure logic programming system like PROLOG and that, even without using constraints,various additional features are available. Then we focus on the constraint-solving facilitiesoffered by constraint logic programming systems. In particular, we explain how the constraintsolver of the constraint logic programming language CLP(PB) can be used in modelling0 - 1 problems. Copyright Kluwer Academic Publishers 1998

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  • Peter Barth & Alexander Bockmayr, 1998. "Modelling discrete optimisation problems inconstraint logic programming," Annals of Operations Research, Springer, vol. 81(0), pages 467-496, June.
    • Handle: RePEc:spr:annopr:v:81:y:1998:i:0:p:467-496:10.1023/a:1018981813157
    DOI: 10.1023/A:1018981813157
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    Cited by:

    1. Tsoukias, Alexis, 2008. "From decision theory to decision aiding methodology," European Journal of Operational Research, Elsevier, vol. 187(1), pages 138-161, May.

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