Guide to Computational Modelling for Decision Processes

Part I: Introduction to Modelling and Model Evaluation.- Model Building.- Introduction to Cellular Automata in Simulation.- Introduction to Mathematical Programming.- Heuristic Techniques in Optimisation.- Introduction to the Use of Queueing Theory and Simulation.- Part II: Case Studies.- Case Studies: Using Heuristics.- Further Use of Heuristic Methods.- Air Traffic Controllers Planning: A Rostering Problem.- Solving Multiple Objective Problems: Modelling Diet Problems.- Fuzzy Scheduling Applied to Small Manufacturing Firms.- The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods.- System Dynamics Case Studies.- Applying Queueing Theory to the Design of a Traffic Light Controller.- Cellular Automata and Agents in Simulations.- Three Big Data Case Studies.- Part III: Appendices.- Appendix A: Queueing Theory.- Appendix B: Function Optimisation Techniques: Genetic Algorithms and Tabu Searches.- Appendix C: What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firms.- Appendix D: Defining Boolean and Fuzzy Logic Operators.- Appendix E: Assessing the Reinstated Waverley Line.- Appendix F: Matching Services with Users in Opportunistic Network Environments.

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• Matemática aplicada
• Pesquisa operacional
• Modelagem computacional e simulação
• Algoritmos e estruturas de dados
• Matemática para cientistas da computação
• Probabilidade e Estatística
• Decisões de gestão

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