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9783319554167: Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications

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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.

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Informazioni sull?autore

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 ComputingVal Lowndes is a Chartered Mathematician, who formerly worked at the University of Derby.

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This interdisciplinary reference and guide provides an introduction to modelling 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 modelling methods and tools, including heuristic and mathematical programming-based models, and queuing 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 queuing theory
  • Reviews examples incorporating system dynamics modelling, cellular automata and agent-based simulations, and the use of big data
  • Contains appendices covering queuing theory, function optimization techniques, Boolean and fuzzy logic, and transport modelling
  • Describes simulation for the evaluation of production planning and control methods, and a model for matching services with users in opportunistic network environments

Researchers, practitioners and students in computer science, engineering and business studies will find this work to be an invaluable and in-depth introduction to the use of simulation techniques in the analysis of large and complex problems, in addition to providing an exhaustive description of the theoretical framework and applications being developed to address such problems.

 

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9783319856544: Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications

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ISBN 10:  3319856545 ISBN 13:  9783319856544
Casa editrice: Springer-Nature New York Inc, 2018
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Berry, Stuart; Lowndes, Val; Trovati, Marcello
Editore: Springer, 2017
ISBN 10: 3319554166 ISBN 13: 9783319554167
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Gebunden. Condizione: 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. Codice articolo 144881499

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Buch. Condizione: 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. Codice articolo 9783319554167

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Buch. Condizione: 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. Codice articolo 9783319554167

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Buch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch. Codice articolo 9783319554167

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