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Amazon.co.uk/computerbooks(Sponsored Results)Find Practical Genetic Algorithms. We have the latest in stock.
www.SHOP.com(Sponsored Results)A definitive source of information about the field of genetic programming with links and conferences.
http://www.genetic-programming.org/A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
http://liinwww.ira.uka.de/bibliography/Ai/genetic.programming.htmlA scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.
http://dgpf.sourceforge.net/The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.
http://cs.gmu.edu/~eclab/5th European Conference on Genetic Programming, 3-5 April 2002: Kinsale, Ireland.
http://evonet.lri.fr/eurogp2002/A programming library designed to aid development of applications that use genetic algorithms.
http://gaul.sourceforge.net/Genetic Programming 1996 Conference, July 28-31: Stanford University.
http://www.cs.brandeis.edu/~zippy/gp-96.htmlA genetic programming toolbox written in Java that aims for simplicity and speed.
http://gpalta.berlios.deA web community and forum for genetic programming and other types of evolutionary computation.
http://www.bloomshare.com/genetic-programming/A large single file containing an extensive genetic programming bibliography. Lacks a search function.
http://www.cs.bham.ac.uk/~wbl/biblio/gp-bibliography.htmlA privately funded research group that does research in applying genetic programming.
http://www.genetic-programming.com/FAQs, people, software, links, conferences, publications, interactive genetic art and music.
http://www.cs.ucl.ac.uk/research/genprog/Explains the paradigm of genetic programming, and its implementation in the C/C++ programming language.
http://www.cis.upenn.edu/~hollick/genetic/paper2.htmlGenetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
http://jgprog.sourceforge.net/Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.
http://www.handshake.de/user/blickle/Truck/index.htmlPromotes the creation and exchange of knowledge on Genetic and Evolutionary Computation and their application.
http://www.isgec.org/Java API for implementing any kind of genetic algorithm and genetic programming applications quickly and easily.
http://www.jaga.orgInventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
http://www.genetic-programming.com/johnkoza.htmlContains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
http://www.iitk.ac.in/kangalInformation on how to implement a genetic programming system using genetic programming itself.
http://www.helpmefigurethisout.comAn easy to learn evolutionary computing framework written for Java 5. Genetic programming is implemented through fast stack-based linear programs.
http://cui.unige.ch/spc/tools/n-genes/Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.
http://www.natural-selection.comJava applet based on an algorithm of John R. Koza.
http://alphard.ethz.ch/gerber/approx/default.htmlContains a Java Applet for symbolic regression using GP. It allows the import of data and the export of the resulting equations to spreadsheet applications like Excel.
http://www.potschi.de/sr/Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
http://www.lalena.com/ai/ant/A GP toolkit for exploring problems which don't have a natural fitness function and need human intuition to select the "best of the breed."
http://www.geom.uiuc.edu/~trowley/genetic/Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.
http://www.tuppas.com/Artificial-Intelligence/Artificial-Intelligence.htmApplies the concepts of evolution to both software and the software process.
http://www.neocoretechs.com/