Genetic Algorithms

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The Genetic Algorithms Archive

A good set of Genetic Algorithm resources including archives of the GA discussion list and source codes.

Parallel Genetic Algorithms

A link page at Nova Genetica.

The Genetic Algorithm Notebook

A guide to Genetic Algorithms and Genetic Programming.

Illinois Genetic Algorithms Laboratory

Information about the lab and their projects including an archive of their publications.

Genetic Algorithm Page from the Department of Computer Science, University of Rochester, USA

A very basic introduction to genetic algorithms including a worked example.

Genetic Algorithms FAQ

From the FAQ: comp.ai.genetic newsgroup.

Introduction to Genetic Algorithms

Presentation on Genetic Algorithm Basics.

GA Rules of Thumb Archive

A site concentrating on practical problems and their solution.

Encore - The Hitch-Hiker's Guide to Evolutionary Computing

Light-hearted but thorough coverage of Evolutionary Computing. Many files are in postscript format.

Brunel University Artificial Life and Genetic Algorithms Page

A site with detailed approach to Genetic Algorithms & AI.

Genetic Programming papers

Links to Genetic Programming papers available over the Web from all over.

University of Exeter Genetic Algorithms & Genetic Programming Page

Mostly links to other sites.

NovaGenetica

Genetic algorithm links and information.

(Draft) of "Using co-evolutionary programming to simulate strategic behaviour in markets".

A draft of a paper published in the Journal of Evolutionary Economics. This paper describes the use of a genetic algorithm (GA) to model several standard industrial organisation games: Bertrand and Cournot competition a vertical chain of monopolies and a simple model of an electricity pool.

Dream Machines and What We Have - a role for learning agent simulations in market design

Draft Paper for ''Agent and Population Based Modelling of Learning in Economics'' Workshop at the Max-Planck-Institute for Research into Economic Systems Jena 2-3 March 1998.

I express muted pessimism about our ability to interpret the results of "learning-agent simulations" (like coevolutionary GA's) when the applications get at all realistic.

Modelling for Market Design with Evolutionary Programming - A presentation

A set of slides prepared for a seminar with the above title.

	Bibliography		Genetic Algorithms
	Artificial Life		Microsimulation
	Cellular Automata		Neural Networks
	Distributed Artificial Intelligence		System Dynamics

http://www.soc.surrey.ac.uk/research/simsoc/ga.html