Guide to Computational Modelling for Decision Processes

Part I. Introduction to Modelling and Model Evaluation

1. Model Building
Val Lowndes (Retired), Stuart Berry, Marcello Trovati, Amanda Whitbrook

2. Introduction to Cellular Automata in Simulation
Val Lowndes, Adrian Bird, Stuart Berry

3. Introduction to Mathematical Programming
Val Lowndes, Stuart Berry

4. Heuristic Techniques in Optimisation
Val Lowndes, Stuart Berry

5. Introduction to the Use of Queueing Theory and Simulation
Val Lowndes, Stuart Berry

Part II. Case Studies

6. Case Studies: Using Heuristics
Val Lowndes, Ovidiu Bagdasar, Stuart Berry

7. Further Use of Heuristic Methods
Val Lowndes, Stuart Berry, Chris Parkes, Ovidiu Bagdasar, Nicolae Popovici

8. Air Traffic Controllers Planning: A Rostering Problem
Richard Conniss

9. Solving Multiple Objective Problems: Modelling Diet Problems
Val Lowndes, Stuart Berry

10.
Fuzzy
Scheduling Applied to Small Manufacturing Firms


Val Lowndes

11. The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods
Bruce Wiggins, Stuart Berry, Val Lowndes

12. System Dynamics Case Studies
Chris Parkes, Stuart Berry, John Stubbs

13. Applying Queueing Theory to the Design of a Traffic Light Controller
James Hardy

14. Cellular Automata and Agents in Simulations
Kim Smith, Richard Hill, Stuart Berry, Richard Conniss

15. Three Big Data Case Studies
Marcello Trovati, Andy Baker

Part III. Appendices

16. Appendix A: Queueing Theory
Stuart Berry

17. Appendix B: Function Optimisation Techniques Genetic Algorithms and Tabu Searches
Val Lowndes, Mirko Paskota

18. Appendix C: What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firm’s
Val Lowndes, Stuart Berry

19. Appendix D: Defining Boolean and Fuzzy Logic Operators
Val Lowndes

20. Appendix E: Assessing the Reinstated Waverly Line
Stuart Berry, John Stubbs

21. Appendix F: Matching Services with Users in Opportunistic Network Environments
Stuart Berry

Avainsanat: Computer Science, Simulation and Modeling, Algorithm Analysis and Problem Complexity, Operation Research/Decision Theory, Mathematics of Algorithmic Complexity, Probability and Statistics in Computer Science