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Guide to Computational Modelling for Decision Processes
Paperback
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- Book 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.
- Product Details
-
- ISBN
- 9783319856544
- Format
- Paperback
- Publisher
- Springer, (09 May 2018)
- Number of Pages
- 396
- Weight
- 837 grams
- Language
- English
- Dimensions
- 235 x 155 x 25 mm
- Series:
- See all books in this series
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