feremystic.blogg.se - Anylogic examples

#Anylogic examples how to#
#Anylogic examples pro#
#Anylogic examples verification#
#Anylogic examples Pc#
#Anylogic examples free#

Heuristic Local Search Tutorial, UoN Open Courseware.

Sierra and Bates (2005) Head First Java (a bit outdated, but explains object oriented programming in Java from scratch).

Morecroft (2007) Strategic Modelling and Business Dynamics: A Feedback Systems Approach.

Wilensky and Rand (2015) An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo.

Gilbert and Troitzsch (2005) Simulation for the Social Scientist - 2e.

Robinson (2014) Simulation: The Practice of Model Development and Use - 2e.

Kelton et al (2014) Simio and Simulation: Modelling, Analysis, Applications - 3e (with a focus on model implementation in Simio).

Borshchev (2013) The Big Book of Simulation Modeling - Multimethod Modeling with AnyLogic 6 (with a focus on model implementation in AnyLogic 6 (please note that in the lab we use AnyLogic 8) also provides an introduction to the required Java).

More up-to-date information is available in the AnyLogic Help.

#Anylogic examples how to#

how to implement simulation models in AnyLogic. Borshchev's book (although a bit outdated) is useful if you want to learn more about the technical aspects, i.e. Most of the module's teaching is based on Stewart Robinson's book. There is also an interesting blog with the latest news about AnyLogicīelow you find a collection of books that we would recommend for self-study.

#Anylogic examples free#

There is a free introductory book for v7 available from the AnyLogic website (and an updated version to buy from Amazon). We will use AnyLogic Free PLE 8 for this module. Last year's exam (without details about the optimisation question) This year's coursework 2 task description

#Anylogic examples Pc#

Lab: Coursework clinic (uses a source element when recycling PC agents)

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

#Anylogic examples pro#

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

#Anylogic examples verification#

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