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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.

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

• Full title: Guide to Computational Modelling for Decision Processes
• Author: Stuart Berry, Val Lowndes, Marcello Trovati
• Language: English
• Binding: Hardback
• Number of pages: 396
• EAN: 9783319554167
• ISBN: 3319554166
• ID: 15850671
• Publisher: Springer International Publishing AG
• Weight: 8071 g
• Dimensions: 235 × 155 × 21 mm
• Date of publishing: 25. April 2017

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