articleJan 20, 2003Closed access

Ant colony optimization: a new meta-heuristic

MDMarco DorigoGAGianni A. Di

Université Libre de Bruxelles

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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. 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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Topics & keywords

Topics
Keywords
  • Ant colony optimization algorithms
  • Meta heuristic
  • Metaheuristic
  • Heuristic
  • Computer science
  • Extremal optimization
  • Mathematical optimization
  • Foraging
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