The ubiquity of combinatorial optimization problems in our society is illustrated by the novel application areas for optimization technology, which range from s

Constraints have emerged as the basis of a representational and computational paradigm that draws from many disciplines and can be brought to bear on many probl

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a syste

Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic.

Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of