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Guide to Computational Modelling for Decision Processes

Theory, Algorithms, Techniques and Applications

  • Book
  • © 2017

Overview

  • Introduces modelling methodologies and models to enable the derivation of efficient and effective ways to produce good solutions
  • Presents a series of case studies demonstrating how heuristic and analytical approaches may be used to solve large and complex problems
  • Includes appendices covering queuing theory, function optimisation techniques, simulation for evaluation of PP&C systems, Boolean and fuzzy logic, transport modelling, and opportunistic networks
  • Includes supplementary material: sn.pub/extras

Part of the book series: Simulation Foundations, Methods and Applications (SFMA)

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Table of contents (21 chapters)

  1. Introduction to Modelling and Model Evaluation

  2. Case Studies

  3. Appendices

Keywords

About this book

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.

Editors and Affiliations

  • Department of Computing and Mathematics, College of Engineering and Technology, University of Derby, Derby, United Kingdom

    Stuart Berry

  • University of Derby, Derby, United Kingdom

    Val Lowndes, Marcello Trovati

About the editors

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 ComputingVal Lowndes is a Chartered Mathematician, who formerly worked at the University of Derby.

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