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portada metaheuristics: computer decision-making
Type
Physical Book
Illustrated by
Publisher
Author
Year
2010
Language
English
Pages
719
Format
Paperback
Dimensions
23.4 x 15.6 x 3.7 cm
Weight
1.02 kg.
ISBN
1441954031
ISBN13
9781441954039
Categories

metaheuristics: computer decision-making

Mauricio G. C. Resende (Illustrated by) · J. Pinho De Sousa (Illustrated by) · Springer · Paperback

metaheuristics: computer decision-making - Resende, Mauricio G. C. ; Pinho De Sousa, J.

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Synopsis "metaheuristics: computer decision-making"

Combinatorial optimization is the process of finding the best, or optimal, so- lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo- cation, logic, and assignment of resources. The economic impact of combi- natorial optimization is profound, affecting sectors as diverse as transporta- tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu- nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so- lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op- timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu- tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

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