GP Kernel
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.
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.
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Current Version: 0.5.2
License Type: GPL
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Home Site:
http://www.emk.e-technik.tu-darmstadt.de/~thomasw/gp.html
Source Code Availability: Yes (full C++ sources)
Available Binary Packages:
- Debian Package: No
- RedHat RPM Package: No
- Other Packages: No
Targeted Platforms:
C++, tested with GNU C++ Compiler 2.7.0 and C++ Compiler by SUNSoft
Software/Hardware Requirements:
Lot's of RAM and a fast computer for big and difficult problems.
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Other Links:
http://www-cs-faculty.stanford.edu/~koza (John Koza's Home Page)
http://www.salford.ac.uk/eee/genetic.html (Adam Fraser's Home Page)
http://www.aic.nrl.navy.mil/galist/src (GA Archive Source Code Collection)
Mailing Lists/USENET News Groups:
comp.ai.genetic (Genetic Programming)
User Comments:
- Documentation format other than postscript
needed (for the operation systems written by Microsoft, ugh ...). The author is
working on it, but he doesn't know when the documentation will be
released in HTML format.
See A Screen Shot? (Not Yet)
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