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Are multiple runs better than one? [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2001.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
PDF-FILE: 11 ; SIZE: 0.4 MBYTES pages
Additional Creators
Lawrence Livermore National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
This paper investigates whether it is better to use a certain constant amount of computational resources in a single run with a large population, or in multiple runs with smaller populations. The paper presents the primary tradeoffs involved in this problem and identifies the conditions under which there is an advantage to use multiple small runs. The paper uses an existing model that relates the quality of the solutions reached by a GA with its population size. The results suggest that in most cases a single run with the largest population possible reaches a better solution than multiple isolated runs. The findings are validated with experiments on functions of varying difficulty.
Report Numbers
E 1.99:ucrl-jc-142172
ucrl-jc-142172
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
01/04/2001.
"ucrl-jc-142172"
Genetic and Evolutionary Computation Conference 2001, San Francisco, CA (US), 07/07/2001--07/11/2001.
Cantu-Paz, E.
Funding Information
W-7405-ENG-48
View MARC record | catkey: 13811396