articleIEEE Computational Intelligence MagazineNov 1, 2006Closed access

Ant colony optimization

Université Libre de Bruxelles

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Abstract

Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization. Ant colony optimization (ACO) takes inspiration from the foraging behavior of some ant species. These ants deposit pheromone on the ground in order to mark some favorable path that should be followed by other members of the colony. Ant colony optimization exploits a similar mechanism for solving optimization problems. From the early nineties, when the first ant…

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Topics & keywords

Keywords
  • Ant colony optimization algorithms
  • Swarm intelligence
  • Metaheuristic
  • Computer science
  • Ant colony
  • Foraging
  • Parallel metaheuristic
  • Exploit
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