Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{angeline:1997:txde,
author = "Peter J. Angeline",
title = "Tracking Extrema in Dynamic Environments",
booktitle = "Proceedings of the 6th International Conference on
Evolutionary Programming",
year = "1997",
editor = "P. J. Angeline and R. G. Reynolds and
J. R. McDonnell and R. Eberhart",
volume = "1213",
series = "Lecture Notes in Computer Science",
address = "Indianapolis, Indiana, USA",
month = apr # " 13-16",
publisher = "Springer Verlag",
keywords = "genetic algorithms, genetic programming",
ISBN = "3-540-62788-X",
URL = "
http://www.natural-selection.com/Library/1997/ep97b.pdf",
URL = "
http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-62788-X",
size = "11 pages",
abstract = "Typical applications of evolutionary optimization
involve the off-line approximation of extrema of static
multi-modal functions. Methods which use a variety of
techniques to self-adapt mutation parameters have been
shown to be more successful than methods which do not
use self-adaptation. For dynamic functions, the
interest is not to obtain the extrema but to follow it
as closely as possible. This paper compares the on-line
extrema tracking performance of an evolutionary program
without self-adaptation against an evolutionary program
using a self-adaptive Gaussian update rule over a
number of dynamics applied to a simple static function.
The experiments demonstrate that for some dynamic
functions, self-adaptation is effective while for
others it is detrimental.",
notes = "EP-97",
}
Genetic Programming entries for Peter John Angeline