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Abstract:
Constraint logic programming has become a promising new technology
for solving complex combinatorial problems.
In this paper, we investigate how (constraint) logic programming can support
the
modelling part when solving discrete optimisation problems.
First, we show that the basic functionality of algebraic modelling languages
can be realised very easily in a pure logic programming system like
Prolog and that, even without using constraints, various additional features
are
available.
Then we focus on the constraint solving facilities offered by constraint
logic programming systems.
In particular, we explain how the constraint solver of the constraint logic
programming language CLP(PB) can be used in modelling 0-1 problems.
