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IlliGAL New Technical Reports Announcement (August 2001)
The Illinois Genetic Algorithms Laboratory (IlliGAL) is pleased to
announce the publication of the following new technical reports and
software. Most IlliGAL technical reports, as well as reprints of other
publications, are available in hardcopy and can be ordered from the
IlliGAL librarian, (see below for ordering information). The technical
reports in this announcement are also available electronically on our
ftp and WWW servers (see the end of this announcement for ftp and WWW
access instructions).
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IlliGAL Report No 2001024
Efficient Evaluation Genetic Algorithms under Integrated Fitness
Functions
Albert, L.A., Goldberg, D.E.
Abstract:
This paper introduces a framework to describe fitness evaluation error
of genetic algorithms (GAs) in which some of the error is due to bias.
This framework describes the tradeoffs between accuracy and speed of
evaluations and is used to model how computation time can be used
efficiently. In particular, fitness functions whose cost and accuracy
vary because of discretization errors from numerical integration are
considered. To illustrate this tradeoff, naive and efficient
discretizations are compared. Traditionally, fitness functions using
numerical integration consider a constant number of grid points
throughout the GA, but an efficient discretization can be considered in
which the number of grid points increase throughout the duration of the
GA. The speedup achieved from using efficient discretizations is
predicted and shown empirically.
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IlliGAL Report No 2001025
Anticipations, Anticipatory Classifier Systems, and Genetic
Generalization. A Diploma Thesis from the University of Wuerzburg,
Germany.
Butz, M.V.
Abstract:
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IlliGAL Report No 2001026
An Implementation of the Anticipatory Classifier System ACS2 in C++
Butz, M.V.
Abstract:
A documentation of a C++ implementation of ACS2, the current
state-of-the-art of the anticipatory learning classifier system ACS, is
provided. The documentation explains how to get started with the code. A
detailed overview of the structure of the code and of all possible
parameter manipulations are given. Input and Output interfaces are
revealed. Finally, the documentation exhibits how to run ACS2 in the
provided test environments as well as how to program new environments
for further runs with ACS2.
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RETRIEVAL/ORDERING:
The above IlliGAL reports and publications, along with other
publications and source code, are available electronically via FTP or
WWW, or as hardcopy directly from us:
FTP: ftp ftp-illigal.ge.uiuc.edu
login: anonymous
password: (your email address)
cd /pub/papers/IlliGALs (for reports) or
cd /pub/papers/Publications (for preprints) or
cd /pub/src (for GA and classifier system source code)
binary
get 99022.ps.Z (for example)
Please look at the README files for explanations of what the file
names mean. IlliGAL reports are all compressed postscript files.
WWW: To access the IlliGAL home page, open
http://www-illigal.ge.uiuc.edu/
HARDCOPY:
You can also order hardcopy versions of most IlliGAL publications
Use the order form in the web or request them directly
(by IlliGAL number or title) from the IlliGAL librarian:
Internet: library@illigal.ge.uiuc.edu Phone: 217/333-2346
Fax: 217/244-5705
Surface mail: IlliGAL Librarian
Department of General Engineering
117 Transportation Building
104 South Mathews Avenue
Urbana, IL 61801-2996 USA
When ordering hardcopy, please include your surface mail address!
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Martin Pelikan
Illinois Genetic Algorithms Laboratory
University of Illinois at Urbana Champaign
117 Transportation Building
104 S. Mathews Avenue, Urbana, IL 61801
tel: (217) 333-2346, fax: (217) 244-5705
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