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Synopsis
This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems. The state-of-the-art coverage and carefully crafted pedagogical style lends this book highly accessible as an introductory text not only to GRASP, but also to combinatorial optimization, greedy algorithms, local search, and path-relinking, as well as to heuristics and metaheuristics, in general. The focus is on algorithmic and computational aspects of applied optimization with GRASP with emphasis given to the end-user, providing sufficient information on the broad spectrum of advances in applied optimization with GRASP. For the more advanced reader, chapters on hybridization with path-relinking and parallel and continuous GRASP present these topics in a clear and concise fashion. Additionally, the book offers a very complete annotated bibliography of GRASP and combinatorial optimization. For the practitioner who needs to solve combinatorial optimization problems, the book provides a chapter with four case studies and implementable templates for all algorithms covered in the text. This book, with its excellent overview of GRASP, will appeal to researchers and practitioners of combinatorial optimization who have a need to find optimal or near optimal solutions to hard combinatorial optimization problems.
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Review
“Optimization by GRASP is a well-structured and well written introduction to GRASP. In addition it is very suitable for and highly accessible to students, researchers and practitioners who want to familiarize themselves with combinatorial optimization and greedy algorithms. ... The book provides an excellent overview of GRASP and will appeal to researchers and practitioners of combinatorial optimization.” (Hans W. Ittmann, IFORS News, Vol. 12 (01), March, 2018)
“The book is a comprehensive introduction to the greedy randomized adaptive search procedures (GRASP), first applied to the set covering problems and then to other combinatorial problems. ... The book is a very good choice for scientists, students and engineers, introducing to the subject of GRASP ... . I strongly recommend this book to both theoreticians and practitionners of OR.” (Marcin Anholcer, zbMATH 1356.90001, 2017)
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- PublisherSpringer
- Publication date2018
- ISBN 10 1493982273
- ISBN 13 9781493982271
- BindingPaperback
- LanguageEnglish
- Number of pages332
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Optimization by GRASP. Greedy Randomized Adaptive Search Procedures.
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XX, 312 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Seller Inventory # 33879AB
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Optimization by Grasp: Greedy Randomized Adaptive Search Procedures
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Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
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Optimization by GRASP
Published by
Springer New York Mai 2018, 2018
ISBN 10: 1493982273
ISBN 13: 9781493982271
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems. The state-of-the-art coverage and carefully crafted pedagogical style lends this book highly accessible as an introductory text not only to GRASP, but also to combinatorial optimization, greedy algorithms, local search, and path-relinking, as well as to heuristics and metaheuristics, in general. The focus is on algorithmic and computational aspects of applied optimization with GRASP with emphasis given to the end-user, providing sufficient information on the broad spectrum of advances in applied optimization with GRASP. For the more advanced reader, chapters on hybridization with path-relinking and parallel and continuous GRASP present these topics in a clear and concise fashion. Additionally, the book offers a very complete annotated bibliography of GRASP and combinatorial optimization. For the practitioner who needs to solve combinatorial optimization problems, the book provides a chapter with four case studies and implementable templates for all algorithms covered in the text.This book, with its excellent overview of GRASP, will appeal to researchers and practitioners of combinatorial optimization who have a need to find optimal or near optimal solutions to hard combinatorial optimization problems. 332 pp. Englisch. Seller Inventory # 9781493982271
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Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
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ISBN 10: 1493982273
ISBN 13: 9781493982271
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 518. Seller Inventory # C9781493982271
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Optimization by GRASP : Greedy Randomized Adaptive Search Procedures
Published by
Springer New York, Springer New York, 2018
ISBN 10: 1493982273
ISBN 13: 9781493982271
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems. The state-of-the-art coverage and carefully crafted pedagogical style lends this book highly accessible as an introductory text not only to GRASP, but also to combinatorial optimization, greedy algorithms, local search, and path-relinking, as well as to heuristics and metaheuristics, in general. The focus is on algorithmic and computational aspects of applied optimization with GRASP with emphasis given to the end-user, providing sufficient information on the broad spectrum of advances in applied optimization with GRASP. For the more advanced reader, chapters on hybridization with path-relinking and parallel and continuous GRASP present these topics in a clear and concise fashion. Additionally, the book offers a very complete annotated bibliography of GRASPand combinatorial optimization. For the practitioner who needs to solve combinatorial optimization problems, the book provides a chapter with four case studies and implementable templates for all algorithms covered in the text.This book, with its excellent overview of GRASP, will appeal to researchers and practitioners of combinatorial optimization who have a need to find optimal or near optimal solutions to hard combinatorial optimization problems. Seller Inventory # 9781493982271
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Optimization by GRASP
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on GRASP, an optimization technique that has been used all over the world by engineers, optimization specialists, scientists, and moreIncludes a how-to guide on designing efficient and effective GRASP heuristics to solve real-world. Seller Inventory # 447957788
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