Monday
Tuesday
The integration of techniques from AI and OR 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.