The disciplines of computer science and operations research have been linked since their origins and each have contributed to the advances of the other. This volume examines some of the recent advances resulting from the confluence between these two technical communities. In the process the book brings together the work of academic researchers and practitioners in computer science, operations research, management science, artificial intelligence, neural networks, and related fields. More specifically, it explores the connections between these two areas with an array of advances in metaheuristics, neural networks, optimization, stochastic analysis, constraint logic programming, and decision support modeling. The book's principal theme centers on the shared modelling technologies of computer science and operations research and applies these methodologies to a variety of applications in manufacturing, logistics, finance, and telecommunications.