<title>Genetic Programming C++ Class Library</title>

GPC++ - Genetic Programming C++ Class Library

Note: The original project is here: http://www0.cs.ucl.ac.uk/staff/ucacbbl/ftp/weinbenner/gp.html, very good C++ GP libary written at 1997, I just fix the compile errors. Have fun with genetic programming.
-- Sunding Wei, 2017.3.1

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The GP kernel is a C++ class library that can be used to apply genetic programming techniques to all kinds of problems. An integral component is the ability to produce automatically defined functions as found in Koza's "Genetic Programming II". Technical documentation (postscript format) is included. There is also a short introduction into genetic programming.

Whats new: The documentation is also available in HTML format!

Features:

• Automatically defined functions (ADFs).
• Tournament and fitness proportionate selection.
• Demetic grouping.
• Optional steady state genetic programming kernel. Steady state means that not a complete new population is built up every generation, but bad performing GPs are replaced by newly evolved ones. This uses approximately half the memory!
• Subtree crossover.
• Swap and shrink mutation.
• A way of changing every parameter of the system without recompilation.
• Capacity for multiple populations (if you have the resources).
• Loading and saving of populations and genetic programs.
• Standard random number generator for complete portability. This has been improved: population sizes of over 250000 are possible now.
• Explanations of how to write the modules for evolving code.
• Examples.
• A parameter study about the influence of every important parameter.
• Completely ANSI C++ compliant.
• Full and wonderful comments dispersed throughout the code.
• Internal parameter checks (can be turned off by a compiler switch): The kernel complains if the programmer makes a mistake.

Current Version: &nbsp 0.5.2

Copyright Type: &nbsp GPL

Author:

Adam Fraser 1993, 1994 and Thomas Weinbrenner 1997

Download:

File "gpc++0.5.2.tar.gz", compressed with gzip, 440KB.

Documentation:

in gpc++0.5.2.tar.gz

Source Code Availability:

Yes (full C++ sources)

Available Binary Packages:

None (C++ Compiler is needed to use the software).

Targeted Platforms:

C++, tested with GNU C++ Compiler 2.7.0 and C++ Compiler by SUNSoft

Software/Hardware Requirements:

C++ Compiler (no exception or template support neccessary).

Lot's of RAM and a fast computer for big and difficult problems.

Other Links:

John Koza's home page (http://www-cs-faculty.stanford.edu/~koza)

Adam Fraser's home page (not up to date) (http://www.salford.ac.uk/eee/genetic.html)

GA Archive, Source Code Collection (http://www.aic.nrl.navy.mil/galist/src)

Mailing Lists/USENET News Groups:

Genetic programming (comp.ai.genetic)

User Comments:

Documentation format other than postscript needed (for the operation systems written by Microsoft, ugh...). I did it! The documentation is now available in HTML format.