Hybrid Optimization focuses on the application of artificial
intelligence and operations research techniques to constraint
programming for solving combinatorial optimization problems. This
book covers the most relevant topics investigated in the last ten
years by leading experts in the field, and speculates about future
directions for research.
This book includes contributions by experts from different but
related areas of research including constraint programming,
decision theory, operations research, SAT, artificial intelligence,
as well as others. These diverse perspectives are actively combined
and contrasted in order to evaluate their relative advantages.
This volume presents techniques for hybrid modeling, integrated
solving strategies including global constraints, decomposition
techniques, use of relaxations, and search strategies including
tree search local search and metaheuristics. Various applications
of the techniques presented as well as supplementary computational
tools are also discussed.
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