Ant colony optimization: a new meta-heuristic
Dorigo, M.
Di Caro, G.
IRIDIA, Univ. Libre de Bruxelles;
This paper appears in: Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Publication Date: 1999
Volume: 2,
On page(s): -1477 Vol. 2
Meeting Date: 07/06/1999 - 07/09/1999
Location: Washington, DC, USA
ISBN: 0-7803-5536-9
References Cited: 34
INSPEC Accession Number: 6338979
Digital Object Identifier: 10.1109/CEC.1999.782657
Current Version Published: 2002-08-06
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
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