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Feature Article—Genetic Algorithms for the Operations Researcher

Colin R. Reeves

INFORMS Journal on Computing · 1997 · Volume 9 · Issue 3

DOI: 10.1287/ijoc.9.3.231

Abstract

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.

Keywords

genetic algorithms, optimization, heuristics

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