Guide to Computational Modelling for Decision Processes Theory, Algorithms, Techniques and Applications

Part I: Introduction to Modelling and Model EvaluationModel Building Val Lowndes, Stuart Berry, Marcello Trovati, and Amanda WhitbrookIntroduction to Cellular Automata in Simulation Val Lowndes, Adrian Bird, and Stuart BerryIntroduction to Mathematical Programming Val Lowndes and Stuart BerryHeuristic Techniques in Optimisation Val Lowndes and Stuart BerryIntroduction to the Use of Queueing Theory and Simulation Val Lowndes and Stuart BerryPart II: Case StudiesCase Studies: Using Heuristics Val Lowndes, Ovidiu Bagdasar, and Stuart BerryFurther Use of Heuristic Methods Val Lowndes, Stuart Berry, Chris Parkes, Ovidiu Bagdasar, and Nicolae PopoviciAir Traffic Controllers Planning: A Rostering Problem Richard ConnissSolving Multiple Objective Problems: Modelling Diet Problems Val Lowndes and Stuart BerryFuzzy Scheduling Applied to Small Manufacturing Firms Val LowndesThe Design and Optimisation of Surround Sound Decoders Using Heuristic Methods B. Wiggins, Stuart Berry, and Val LowndesSystem Dynamics Case Studies Chris Parkes, Stuart Berry, and John StubbsApplying Queueing Theory to the Design of a Traffic Light Controller James HardyCellular Automata and Agents in Simulations Kim Smith, Richard Hill, Stuart Berry, and Richard ConnissThree Big Data Case Studies Marcello Trovati and Andy BakerPart III: AppendicesAppendix A: Queueing Theory Stuart BerryAppendix B: Function Optimisation Techniques: Genetic Algorithms and Tabu Searches Val Lowndes and Mirko PaskotaAppendix C: What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firms Stuart Berry and Val LowndesAppendix D: Defining Boolean and Fuzzy Logic Operators Val Lowndes, Marcello Trovati, and Stuart BerryAppendix E: Assessing the Reinstated Waverley Line Stuart Berry and John StubbsAppendix F: Matching Services with Users in Opportunistic Network Environments Stuart Berry