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Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications (Simulation Foundations, Methods and Applications)

Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications (Simulation Foundations, Methods and Applications)

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  • ISBN-13: 9783319554167
  • Publisher: Springer
  • Release Date: Apr 14, 2017
  • Edition: 1st ed. 2017
  • Pages: 396 pages
  • Dimensions: 1.1 x 9.62 x 6.53 inches

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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.


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