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Metaheuristic Search Concepts: A Tutorial with Applications to Production and Logistics - Softcover

 
9783642425110: Metaheuristic Search Concepts: A Tutorial with Applications to Production and Logistics

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In many decision problems, e.g. from the area of production and logistics manage ment, the evaluation of alternatives and the determination of an optimal or at least suboptimal solution is an important but dif?cult task. For most such problems no ef?cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time. Therefore, dedicated heuristic solution approaches have been developed which aim at providing good solutions in reasonable time for a given problem. However, such methods have two major drawbacks: First, they are tailored to a speci?c prob lem and their adaption to other problems is dif?cult and in many cases even impos sible. Second, they are typically designed to “build” one single solution in the most effective way, whereas most decision problems have a vast number of feasible solu tions. Hence usually the chances are high that there exist better ones. To overcome these limitations, problem independent search strategies, in particular metaheuris tics, have been proposed. This book provides an elementary step by step introduction to metaheuristics focusing on the search concepts they are based on. The ?rst part demonstrates un derlying concepts of search strategies using a simple example optimization problem.

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The book gives an introduction to metaheuristics for students and practitioners. It requires no prior knowledge of the field, as the basic concepts are developed step by step from the bottom up using the knapsack problem and therefore allowing the user to concentrate on the main ideas of metaheuristics. The concepts are then expanded to concrete algorithms, which are described in detail. Then a systematization of the algorithms is established and compared with existing classification schemes from literature. The last part of the book deals with the application of popular metaheuristics to two optimization problems from the field of production and logistics, namely the Job Shop Scheduling and the Vehicle Routing Problem, based on examples.

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9783642113420: Metaheuristic Search Concepts: A Tutorial with Applications to Production and Logistics

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ISBN 10:  3642113427 ISBN 13:  9783642113420
Verlag: Springer, 2010
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Günther Zäpfel
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In many decision problems, e.g. from the area of production and logistics manage ment, the evaluation of alternatives and the determination of an optimal or at least suboptimal solution is an important but dif cult task. For most such problems no ef cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time. Therefore, dedicated heuristic solution approaches have been developed which aim at providing good solutions in reasonable time for a given problem. However, such methods have two major drawbacks: First, they are tailored to a speci c prob lem and their adaption to other problems is dif cult and in many cases even impos sible. Second, they are typically designed to 'build' one single solution in the most effective way, whereas most decision problems have a vast number of feasible solu tions. Hence usually the chances are high that there exist better ones. To overcome these limitations, problem independent search strategies, in particular metaheuris tics, have been proposed. This book provides an elementary step by step introduction to metaheuristics focusing on the search concepts they are based on. The rst part demonstrates un derlying concepts of search strategies using a simple example optimization problem. Artikel-Nr. 9783642425110

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Zäpfel, Günther; Braune, Roland; Bögl, Michael
Verlag: Springer, 2014
ISBN 10: 3642425119 ISBN 13: 9783642425110
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