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  • © 2017

Guide to Computational Modelling for Decision Processes

Theory, Algorithms, Techniques and Applications

  • 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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  • ISBN: 978-3-319-55417-4
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Softcover Book USD 99.99
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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xii
  2. Introduction to Modelling and Model Evaluation

    1. Front Matter

      Pages 1-1
    2. Model Building

      • Val Lowndes (Retired), Stuart Berry, Marcello Trovati, Amanda Whitbrook
      Pages 3-53
    3. Introduction to Cellular Automata in Simulation

      • Val Lowndes, Adrian Bird, Stuart Berry
      Pages 55-73
    4. Introduction to Mathematical Programming

      • Val Lowndes, Stuart Berry
      Pages 75-120
    5. Heuristic Techniques in Optimisation

      • Val Lowndes, Stuart Berry
      Pages 121-143
    6. Introduction to the Use of Queueing Theory and Simulation

      • Val Lowndes, Stuart Berry
      Pages 145-171
  3. Case Studies

    1. Front Matter

      Pages 173-173
    2. Case Studies: Using Heuristics

      • Val Lowndes, Ovidiu Bagdasar, Stuart Berry
      Pages 175-197
    3. Further Use of Heuristic Methods

      • Val Lowndes, Stuart Berry, Chris Parkes, Ovidiu Bagdasar, Nicolae Popovici
      Pages 199-235
    4. Solving Multiple Objective Problems: Modelling Diet Problems

      • Val Lowndes, Stuart Berry
      Pages 251-263
    5. The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods

      • Bruce Wiggins, Stuart Berry, Val Lowndes
      Pages 273-284
    6. System Dynamics Case Studies

      • Chris Parkes, Stuart Berry, John Stubbs
      Pages 285-297
    7. Cellular Automata and Agents in Simulations

      • Kim Smith, Richard Hill, Stuart Berry, Richard Conniss
      Pages 307-331
    8. Three Big Data Case Studies

      • Marcello Trovati, Andy Baker
      Pages 333-345
  4. Appendices

    1. Front Matter

      Pages 347-347
    2. Appendix A: Queueing Theory

      • Stuart Berry
      Pages 349-353

About this book

This interdisciplinary reference and guide provides an introduction to modelling 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 modelling methods and tools, including heuristic and mathematical programming-based models, and queuing 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 queuing theory
  • Reviews examples incorporating system dynamics modelling, cellular automata and agent-based simulations, and the use of big data
  • Contains appendices covering queuing theory, function optimization techniques, Boolean and fuzzy logic, and transport modelling
  • Describes simulation for the evaluation of production planning and control methods, and a model for matching services with users in opportunistic network environments

Researchers, practitioners and students in computer science, engineering and business studies will find this work to be an invaluable and in-depth introduction to the use of simulation techniques in the analysis of large and complex problems, in addition to providing an exhaustive description of the theoretical framework and applications being developed to address such problems.

 

Keywords

  • Modelling
  • Simulation
  • Complex processes
  • Operational research
  • Problem solving
  • Heuristics
  • algorithm analysis and problem complexity
  • algorithmic complexity

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.

Bibliographic Information

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-55417-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 99.99
Price excludes VAT (USA)
Hardcover Book USD 99.99
Price excludes VAT (USA)