Guide to Computational Modelling for Decision Processes | Theory, Algorithms, Techniques and Applications
Stuart Berry (u. a.)
ISBN 10: 3319856545 ISBN 13: 9783319856544
Published by Springer, 2018
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Guide to Computational Modelling for Decision Processes | Theory, Algorithms, Techniques and Applications | Stuart Berry (u. a.) | Taschenbuch | Simulation Foundations, Methods and Applications | xii | Englisch | 2018 | Springer | EAN 9783319856544 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 114227907
Synopsis:
This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices.
About the Author:
Dr. Stuart Berry is a lecturer in the Department of Computing and Mathematics at the University of Derby, UK. Dr. Marcello Trovati is a Senior Lecturer at the same institution. He is also a co-editor of the Springer titles Guide to Security Assurance for Cloud Computing and Big-Data Analytics and Cloud Computing. Val Lowndes is a Chartered Mathematician, who formerly worked at the University of Derby.
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Title: Guide to Computational Modelling for ...
Publisher: Springer
Publication Date: 2018
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Guide to Computational Modelling for Decision Processes
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces modelling methodologies and models to enable the derivation of efficient and effective ways to produce good solutionsPresents a series of case studies demonstrating how heuristic and analytical approaches may be used to solve large and compl. Seller Inventory # 458625966
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Guide to Computational Modelling for Decision Processes
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch. Seller Inventory # 9783319856544
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Guide to Computational Modelling for Decision Processes : Theory, Algorithms, Techniques and Applications
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices. Seller Inventory # 9783319856544
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Guide to Computational Modelling for Decision Processes
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ISBN 13: 9783319856544
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices. 408 pp. Englisch. Seller Inventory # 9783319856544
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