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GAucsd: Genetic Algorithm Software Package

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.
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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 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.
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