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Ant Colony Optimization: A New Meta-Heuristic (1999)
by
Marco Dorigo
,
Gianni Di Caro
| Venue: | PROCEEDINGS OF THE CONGRESS ON EVOLUTIONARY COMPUTATION |
| Citations: | 93 - 2 self |
BibTeX
@INPROCEEDINGS{Dorigo99antcolony,
author = {Marco Dorigo and Gianni Di Caro},
title = {Ant Colony Optimization: A New Meta-Heuristic},
booktitle = {PROCEEDINGS OF THE CONGRESS ON EVOLUTIONARY COMPUTATION},
year = {1999},
pages = {1470--1477},
publisher = {IEEE Press}
}
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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. In this paper 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.
