9781441944207 - Nested Partitions Method, Theory and Applications: 109 di Shi, Leyuan; Ólafsson, Sigurdur (13 risultati)

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e ective solving discrete optimization problems. Such discrete problems are common in many practical applications and the NP method is thus useful in diverse application areas. It can be applied to both operational and planning problems and has been demonstrated to e ectively solve complex problems in both manufacturing and service industries. To illustrate its broad applicability and e ectiveness, in this book we will show how the NP method has been successful in solving complex problems in planning and scheduling, logistics and transportation, supply chain design, data mining, and health care. All of these diverse app- cationshaveonecharacteristicincommon:theyallleadtocomplexlarge-scale discreteoptimizationproblemsthatareintractableusingtraditionaloptimi- tion methods. 1.1 Large-Scale Optimization IndevelopingtheNPmethodwewillconsideroptimization problemsthatcan be stated mathematically in the following generic form: minf(x), (1.1) x X where the solution space or feasible region X is either a discrete or bounded set of feasible solutions. We denote a solution to this problem x and the objective function value f = f (x ).

Taschenbuch. Condizione: Neu. Nested Partitions Method, Theory and Applications | Leyuan Shi (u. a.) | Taschenbuch | x | Englisch | 2010 | Springer | EAN 9781441944207 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e ective solving discrete optimization problems. Such discrete problems are common in many practical applications and the NP method is thus useful in diverse application areas. It can be applied to both operational and planning problems and has been demonstrated to e ectively solve complex problems in both manufacturing and service industries. To illustrate its broad applicability and e ectiveness, in this book we will show how the NP method has been successful in solving complex problems in planning and scheduling, logistics and transportation, supply chain design, data mining, and health care. All of these diverse app- cationshaveonecharacteristicincommon:theyallleadtocomplexlarge-scale discreteoptimizationproblemsthatareintractableusingtraditionaloptimi- tion methods. 1.1 Large-Scale Optimization IndevelopingtheNPmethodwewillconsideroptimization problemsthatcan be stated mathematically in the following generic form: minf(x), (1.1) x X where the solution space or feasible region X is either a discrete or bounded set of feasible solutions. We denote a solution to this problem x and the objective function value f = f (x ). 272 pp. Englisch.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nested Partitions (NP) framework combines well-known optimization techniques with problem-specific local search heuristics for increased effectivenessEmphasizes the solution of real-world problems in a broad range of areas, from telecommunications.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e ective solving discrete optimization problems. Such discrete problems are common in many practical applications and the NP method is thus useful in diverse application areas. It can be applied to both operational and planning problems and has been demonstrated to e ectively solve complex problems in both manufacturing and service industries. To illustrate its broad applicability and e ectiveness, in this book we will show how the NP method has been successful in solving complex problems in planning and scheduling, logistics and transportation, supply chain design, data mining, and health care. All of these diverse app- cationshaveonecharacteristicincommon:theyallleadtocomplexlarge-scale discreteoptimizationproblemsthatareintractableusingtraditionaloptimi- tion methods. 1.1 Large-Scale Optimization IndevelopingtheNPmethodwewillconsideroptimization problemsthatcan be stated mathematically in the following generic form: minf(x), (1.1) x X where the solution space or feasible region X is either a discrete or bounded set of feasible solutions. We denote a solution to this problem x and the objective function value f = f (x ).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.