![]() ![]() Lecture: Cost-Benefit and Multi-Criteria Decision Analysis Lab: Try linking AnyLogic and HeuristicLab start with planning coursework 2 My HowTo Video: Running Experiments in HeuristicLab Using AnyLogic.Workshop: Peer's PhD students present their PhD projects AnyLogic HowTo Video: Optimisation Experiment.Lab: Implementing Simulation Optimisation Workshop: Optimisation Experiments in AnyLogic Lecture: Optimisation with ABM Simulation Workshop: Evaluating Heuristic Algorithms Lab: Exploring Simulation Optimisation Examples Workshop: Combining Simulation and Optimization Lecture: Constructive and Local Search Heuristics Workshop: AnyLogic - Beginner to Pro in under an hour ) ![]() Useful resource: Transentis's Introduction to System Dynamics with iThink.Lecture: System dynamics modelling and simulation + hybrids Workshop: Introduction to focus groups + Peer's research Useful resource: Jose Vidal's videos on ABM and MAS using NetLogo.Useful resource: Nathaniel Osgood's ABM Bootcamp slides.Lecture: Agent-based modelling and simulation Workshop: Validation and verification within the simulation life cycle + introduction to group activity Useful resource: SimioSimulation YouTube Chanel.Useful resource: Nathaniel Osgood's Discrete Event Modelling in AnyLogic.Lecture: Discrete event modelling and simulation Workshop: Data and information + representing unpredictable variability Homework: Watch the following video >Inaugural Lecture of Professor Stewart Robinson<< Lecture: Conceptual modelling + conceptual modelling exercise Workshop: Working with AnyLogic and Java Lecture: Introduction to AnyLogic and Java Lecture: Introduction to simulation and optimisation (the bigger picture) I teach this module together with my colleague Dario Landa-Silva. If you are one of my COMP4038 students, please use Moodle instead of this website, as the slides here contain lots of spoilers for the in-class activities. Throughout the module, you will become more competent in choosing and implementing the appropriate method(s) for the particular problem at hand. The foundations for applying these methods are derived from Operations Research Simulation, Social Simulation, Data Science, Automated Scheduling, and Decision Analysis. This module offers insight into the applications of selected methods of decision support. G54SOD: Simulation and Optimisation for Decision Support ![]()
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