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Media type:
E-Article
Title:
Feature Article—Genetic Algorithms for the Operations Researcher
Contributor:
Reeves, Colin R.
imprint:
Institute for Operations Research and the Management Sciences (INFORMS), 1997
Published in:INFORMS Journal on Computing
Language:
English
DOI:
10.1287/ijoc.9.3.231
ISSN:
1526-5528;
1091-9856
Origination:
Footnote:
Description:
<jats:p> Genetic algorithms have become increasingly popular as a means of solving hard combinatorial optimization problems of the type familiar in operations research. This feature article will consider what genetic algorithms have achieved in this area, discuss some of the factors that influence their success or failure, and offer a guide for operations researchers who want to get the best out of them. </jats:p>