Friday
Saturday
The integration of techniques from Artificial Intelligence and
Operations Research has shown in the past years how it improves
algorithm quality for tackling complex and large scale combinatorial
problems, especially in terms of efficiency, scaleability and
optimality. The value of this integration has been shown in
applications such as hoist scheduling, rostering, dynamic scheduling
and vehicle routing. At the programming/modelling level, most
constraint languages embed OR techniques to reason about collections
of constraints, so-called global constraints. A few also provide
support for hybridization allowing the programmer to build new
integrated algorithms. The resulting multi-paradigm programming
framework combines the flexibility and modelling facilities of
constraint programming with the special purpose and efficient methods
from Operations Research.