Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications
- 5h 2m
- Marcello Trovati (eds), Stuart Berry, Val Lowndes
- Springer
- 2017
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.
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 Computing.
Val Lowndes is a Chartered Mathematician, who formerly worked at the University of Derby.
In this Book
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Model Building
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Introduction to Cellular Automata in Simulation
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Introduction to Mathematical Programming
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Heuristic Techniques in Optimisation
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Introduction to the Use of Queueing Theory and Simulation
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Case Studies—Using Heuristics
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Further Use of Heuristic Methods
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Air Traffic Controllers Planning—A Rostering Problem
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Solving Multiple Objective Problems—Modelling Diet Problems
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Fuzzy Scheduling Applied to Small Manufacturing Firms
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The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods
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System Dynamics Case Studies
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Applying Queueing Theory to the Design of a Traffic Light Controller
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Cellular Automata and Agents in Simulations
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Three Big Data Case Studies
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Appendix A—Queueing Theory
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Appendix B—Function Optimisation Techniques Genetic Algorithms and Tabu Searches
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Appendix C—What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firm's
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Appendix D—Defining Boolean and Fuzzy Logic Operators
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Appendix E—Assessing the Reinstated Waverly Line
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Appendix F—Matching Services with Users in Opportunistic Network Environments
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References
