- author = "Edwin Roger Banks and Paul Agarwal and Marshall McBride and Claudette Owens",
- title = "A comparison of selection, recombination, and mutation parameter importance over a set of fifteen optimization tasks",
- booktitle = "GECCO-2009 Late-Breaking Papers",
- year = "2009",
- editor = "Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore",
- pages = "1971--1976",
- address = "Montreal",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "8-12 " # jul,
- organisation = "SigEvo",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-60558-325-9",
- bibsource = "DBLP, http://dblp.uni-trier.de",
-
DOI = "
doi:10.1145/1570256.1570261",
-
abstract = "How does one choose an initial set of parameters for
an evolutionary computing algorithm? Clearly some
choices are dictated by the problem itself, such as the
encoding of a problem solution, or how much time is
available for running the evolution. Others, however,
are frequently found by trial-and-error. These may
include population sizes, number of populations, type
of selection, recombination and mutation rates, and a
variety of other parameters. Sometimes these parameters
are allowed to co-evolve along with the solutions
rather than by trial-and-error. But in both cases, an
initial setting is needed for each parameter.
When there are hundreds of parameters to be adjusted, as in some evolutionary computation tools, one would like to just spend time adjusting those that are believed to be most important, or sensitive, and leave the rest to start with an initial default value. Thus the primary goal of this paper is to establish the relative importance of each parameter. Establishing general guidance to assist in the determination of these initial default values is another primary goal of this paper. We propose to develop this guidance by studying the solutions resulting from variations around the default starting parameters applied across fifteen different application types.",
-
notes = "Distributed on CD-ROM at GECCO-2009.
ACM Order Number 910092.",
