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 Nature Switzerland, 2018

About this Item

Guide to Computational Modelling for Decision Processes | Theory, Algorithms, Techniques and Applications | Stuart Berry (u. a.) | Taschenbuch | xii | Englisch | 2018 | Springer Nature Switzerland | 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

Bibliographic Details

• Title: Guide to Computational Modelling for Decision Processes | Theory, Algorithms, Techniques and Applications
• Publisher: Springer Nature Switzerland
• Publication Date: 2018
• Language: English
• ISBN 10: 3319856545
• ISBN 13: 9783319856544
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 702 grams
• Seller catalogs:
  • Bücher

About this title

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.