Guide to Computational Modelling for Decision Processes
Format: Hardcover
ISBN13: 9783319554167
Hardcover|9783319554167
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Overview
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.
| ISBN-13 | 9783319554167 |
|---|---|
| ISBN-10 | 3319554166 |
| Weight | 1.93 Pounds |
| Dimensions | 6.53 x 1.10 x 9.62 In |
| List Price | $54.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xii, 396 pages |
| Publisher | Springer |
| Published On | 2017-04-25 |
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