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         J Programming:     more books (100)
  1. Programming With Unix Threads by Charles J. Northrup, 1996-01
  2. Wireless Programming with J2ME: Cracking the Code (With CD-ROM) by Dreamtech Software Team, 2001-12-15
  3. Coming to SAS from SPSS: A Programming Approach by Lora D. Delwiche, Susan J. Slaughter, 2009-02-19
  4. Multithreaded Programming with Java Technology by Bil Lewis, Daniel J. Berg, et all 1999-12-27
  5. The Mathematics of Nonlinear Programming (Undergraduate Texts in Mathematics) by Anthony L. Peressini, Francis E. Sullivan, et all 1988-03-02
  6. Introduction to Computing and Programming in Python, A Multimedia Approach (2nd Edition) by Mark J. Guzdial, Barbara Ericson, 2009-07-11
  7. The Denotational Description of Programming Languages: An Introduction by M.J.C. Gordon, 1987-01-19
  8. Core Python Programming (Prentice Hall Ptr Core Series) by Wesley J. Chun, 2000-12-15
  9. The Placenta and Human Developmental Programming
  10. Formal Description of Programming Concepts (Ifip State of the Art Reports) by Erich J. Neuhold, 1991-10
  11. Bluetooth Application Programming with the Java APIs (The Morgan Kaufmann Series in Networking) by C Bala Kumar, Paul J. Kline, et all 2003-10-01
  12. Visual J++ Programming FrontRunner: The Quickest Way to Learn Visual J++, Microsoft's New Java Programming Tool by Peter Aitken, David H., Jr. Friedel, et all 1996-10-11
  13. Design Methods for Reactive Systems: Yourdon, Statemate, and the UML (The Morgan Kaufmann Series in Software Engineering and Programming) by R. J. Wieringa, 2003-01-10
  14. An Introduction to Programming Using Java by Anthony J. Dos Reis, 2010-10-18

101. Genetic-programming.com-Home-Page
A privately funded research group that does research in applying genetic programming.
http://www.genetic-programming.com/
Immediate opening ( uupdated August July 8, 2007) for scientific research programmer at Genetic Programming Inc.
Welcome to
www.genetic-programming.com
the home page of Genetic Programming Inc., a privately funded research group that does research in applying genetic programming)
Last updated July 8, 2007 What is Genetic Programming (GP)? How Genetic Programming Works Sources of Information about the Field of Genetic Programming (GP), Genetic Algorithms (GA), and the Field of Genetic and Evolutionary Computation (GEC) Conferences about Genetic Programming (GP) and Genetic and Evolutionary Computation (GEC) ... Other Links
What is Genetic Programming (GP)?
Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of “what needs to be done” and automatically creates a computer program to solve the problem. There are now 36 instances where genetic programming has automatically produced a result that is competitive with human performance , including 15 instances where genetic programming has created an entity that either infringes or duplicates the functionality of a previously patented 20 th -century invention, 6 instances where genetic programming has done the same with respect to a 21

102. Johnkoza
Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
http://www.genetic-programming.com/johnkoza.html
Home Page of John R. Koza
John Koza with 1,000-Pentium parallel computer in Mountain View, California. Picture by Eric Slomanson
Keynote speech at Congress On the Future of Engineering Software ( COFES ) conference in Phoenix on April 2, 2004 Most recent published article: Human-competitive results produced by genetic programming in March 2010 special 10 th Anniversary issue of Genetic Programming and Evolvable Machines ... journal
Skip Down this Page Directly to ...
Go to Biography Go to Scientific books and papers Go to Scientific research Interests Go to Courses at Stanford University Go to Recent Invited Talks and Tutorials on Genetic Programming Go to Addresses and Contact Information Go to Electoral College Go to Miscellaneous
More pictures
Biography—John R. Koza
Degrees
  • B.A., Computer Science, University of Michigan M.A. Mathematics, University of Michigan M.S., Computer Science, University of Michigan PhD., Computer Science, University of Michigan , 1972. Thesis entitled On Inducing a Non-Trivial, Parsimonious Grammar for a Given Sample of Sentence s.

103. Groovy Java Genetic Programming
Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
http://jgprog.sourceforge.net/
Groovy Java Genetic Programming
Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform. Three example "worlds" are provided, in which a population evolves and solves the problem. Now that's Groovy. The source code is released under the GNU General Public Licence Go to the Groovy Java main home page
How do I Get Started
About the Project Page
The project page contains links to various elements of the project: forums, mailing lists, news items, downloads, etc.
Public Forums
There are three public forums anyone can post to and read:
  • Open Discussion: Talk about anything, as long as it's related to JGProg or general genetic programming issues, unless the message topic would fit better in one of the other two forums. More for users of JGProg and anyone interested in genetic programming. Help: Ask (and obtain!) help in using JGProg, but not non-JGProg issues in genetic programming, which properly belongs in the Open Discussion forum. For example, a question about the best population size or crossover probability for a particular problem is not a problem in using the JGProg program, since you could use any genetic programming platform. Developers: Talk about further developing JGProg, bugs in JGProg, desired features in JGProg.

104. Genetic Programming
A web community and forum for genetic programming and other types of evolutionary computation.
http://www.bloomshare.com/genetic-programming/
Genetic Programming
Genetic programming, evolutionary algorithms, and genetic algorithms. Keep up with the latest research, share your experiences and applications, discuss best practices. Username: Password: Create a community Create an account Forgot your password? Moderator: psiolent
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Evovling Mathematical Expressions from Numerical Data

A very interesting approach to the evolution of mathematical functions using Mathematica can be found here:...( more
Submitted 2010-06-10 18:28:27 by bonnarj Rating: Views Section: Research and News Ephimeral Random Constants Hello, does anyone know what the "ephimeral random costants" in GP are?...( more Submitted 2010-05-16 08:31:02 by Karl Rating: Views Section: Ask the Community pySTEP or Python Strongly Typed gEnetic Programming Hi! PYSTEP is a light Genetic Programming package in Python. The users can use it to easily evolve populations of trees with precise grammatical and structural constraints. In other worlds you can...( more Submitted 2009-09-19 03:02:45 by Rating: Views Section: Research and News Assistance Request I'm using Genetic Programming to solve a large scale multi-variable system. I've created a simple scripting language to interpret genes as a command structure. Because the system generates a script...(

105. General Reconstruction
Contains information on genetic algorithms and programming techniques. Sponsors a genetic programming contest in java.
http://evolve.bravehost.com
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106. The CGI Resource Index: Documentation: Programming Languages: Programming In Per
Tips, instructions and tutorials on scripting CGI in Perl.
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