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The Knowledge Engineering Review
Article . 2001 . Peer-reviewed
License: Cambridge Core User Agreement
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Constraint programming and maths programming

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2001Publisher:Cambridge University Press (CUP)Journal:The Knowledge Engineering Review, volume 16, pages 5-23 (issn: 0269-8889, eissn: 1469-8005, Copyright policy )
Authors: Jean-Francois Puget; Irvin Lustig;

doi: 10.1017/s0269888901000042

Constraint programming and maths programming

Abstract

Maths programming (MP) and constraint programming (CP) are two techniques that are able to solve difficult industrial optimisation problems. The purpose of this paper is to compare them from an algorithmic and a modelling point of view. Algorithmic principles of each approach are described and contrasted. Some ways of combining both techniques are also introduced.

Related Organizations
Keywords

constraint programming, Mixed integer programming, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), maths programming

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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