Title: Ant colony optimization: a new meta-heuristic
Abstract: Recently, a number of algorithms inspired by the foraging behavior of ant colonies have been applied to the solution of difficult discrete optimization problems. We put these algorithms in a common framework by defining the Ant Colony Optimization (ACO) meta-heuristic. A couple of paradigmatic examples of applications of these novel meta-heuristic are given, as well as a brief overview of existing applications.
Publication Year: 2003
Publication Date: 2003-01-20
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1934
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