9781402076534 - metaheuristics: computer decision-making: 86 (14 risultati)
Lingua: Inglese
Editore: Springer, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Lingua: Inglese
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Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Metaheuristics : Computer Decision-Making
Resende, Mauricio G. C. (EDT); Pinho De Sousa, J. (EDT); De Sousa, Jorge Pinho (EDT); Viana, Ana (EDT); Sousa, Jorge Pinho De (EDT)
Lingua: Inglese
Editore: Springer, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Metaheuristics : Computer Decision-Making
Resende, Mauricio G. C. (EDT); Pinho De Sousa, J. (EDT); De Sousa, Jorge Pinho (EDT); Viana, Ana (EDT); Sousa, Jorge Pinho De (EDT)
Lingua: Inglese
Editore: Springer, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Metaheuristics : Computer Decision-Making
Resende, Mauricio G. C. (EDT); Pinho De Sousa, J. (EDT); De Sousa, Jorge Pinho (EDT); Viana, Ana (EDT); Sousa, Jorge Pinho De (EDT)
Lingua: Inglese
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Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Metaheuristics : Computer Decision-Making
Resende, Mauricio G. C. (EDT); Pinho De Sousa, J. (EDT); De Sousa, Jorge Pinho (EDT); Viana, Ana (EDT); Sousa, Jorge Pinho De (EDT)
Lingua: Inglese
Editore: Springer, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, schedulin…g, 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.
Lingua: Inglese
Editore: Springer US Nov 2003, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 ro…uting, 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. 744 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Nov 2003, 2003
Serie: Applied Optimization, Libro 9 di 20. Libro 9 di 20 - Applied Optimization
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 routin…g, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 744 pp. Englisch.
