CMU Artificial Intelligence Repository
GAucsd: Genetic Algorithm Software Package
areas/genetic/ga/systems/ga_ucsd/
This directory contains materials related to the GAucsd Genetic
Algorithm software package. Genetic Algorithms (GAs) are a class of
computer algorithms for optimizing arbitrary functions via methods
inspired by biological evolution.
GAucsd is based on GENESIS, but with numerous bug fixes and
user-interface improvements. Major additions include a wrapper that
simplifies the writing of evaluation functions, a facility to
distribute experiments over networks of machines, and Dynamic
Parameter Encoding, a technique that improves GA performance in
continuous search spaces by adaptively refining the representation of
real-valued genes.
Origin:
cs.ucsd.edu:/pub/GAucsd/ [132.239.51.3]
sfi.santafe.edu:/pub/EC/GA/docs/
as the files GAucsd14.sh.gz and GAucsd14.ps.gz
Version: 1.4 (7-JUL-92)
Requires: C, Unix
Ports: Should be easy to port to platforms with awk and make utilities.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Mailing List: To be put on a mailing list of GAucsd users, send
the message
add GAucsd
to listserv@cs.ucsd.edu.
Author(s): Nici Schraudolph or
Computer Science & Engineering Department
University of California, San Diego
La Jolla, CA 92093-0114
Keywords:
Authors!Schraudolph, GAucsd, GENESIS, Genetic Algorithms,
UCSD
References:
The technical report on Dynamic Parameter Encoding has been published
in the journal "Machine Learning", volume 9, pages 9-21, 1992.
A postscript version of the user's guide has been included.
Last Web update on Mon Feb 13 10:22:54 1995
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