Genetic Algorithms links 2

More GA links. For archival purposes.

ai-junkie is a great website with a GA tutorial written “in plain English”. Evolutionary Computation lecture notes by Thorsten Schnier. More Evolutionary Computation lecture notes by Riccardo Poli, including a section on Classifier Systems. Genetic and Evolutionary Algorithms: Principles, Methods and Algorithms is an introduction to Evolutionary and Genetic Algorithms. A GA tutorial with example applets. The MAGDON Documentation has a brief introduction to GA, including descriptions of the Pittsburg approach and the Michigan approach. GA-Search - the Genetic Algorithms search engine, is a search engine dedicated to only GA-related sites. The American Association for Artificial Intelligence “is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.” The Journal of Artificial Intelligence Research is an electronic journal on AI. EvoWeb, the website of Evonet (European Network of Excellence in Evolutionary Computing), is a portal site for Evolutionary Computing. The International Society of Artificial Life publishes the Artificial Life journal.

Genetic Algorithms links

This is a collection of links on Genetic Algorithms. For archival purposes.

Genetic Algorithms Warehouse is an excellent resource with collections of links to tutorials, papers, recommended books, software libraries, and essays. Part of AI Depot. The Genetic Programming Notebook is a huge collection of links related to GA(Genetic Algorithms) and GP(Genetic Programming). There is also a GP tutorial. * Genetic Algorithm Classifiers is a final year project by Gabriel Kevorkian and Marko Milek

that is “study of genetic algorithms and, in particular, of their application in event classification and feature selection”. Their classification algorithm is implemented as a Java applet.

Darrell Whitley had written a GA tutorial circa 1993. * Alexander Schatten also has a GA tutorial. PMSI has short GA tutorial. * Frederic Dreier has a tutorial about Genetic Algorithms on his website. Wendy Williams has some GA tutorial slides. * Michael Skinner has a Genetic Algorithms Overview. * Eric Martel has an article on Solving Travelling Salesman Problems Using Genetic Algorithms. * Alex Champandard writes on Genetic Algorithm Class Design. * The GA Playground is a general GA toolkit implemented in Java. Collection of Evolutionary Computation links. Introduction to Genetic Algorithms slides. genetic-programming.org is a “source of information about the field of genetic programming”.

Note to self: * indicates printed in hard copy


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