book chapter · Chapman & Hall/CRC eBooks · 2007

Ant Colony Optimization

Cited by 6,639Abstract and details only

Abstract

This chapter presents an overview of ant colony optimization (ACO)—a metaheuristic inspired by the behavior of real ants. Ant colony optimization was proposed by Dorigo and colleagues [1-3] as a method for solving hard combinatorial optimization problems (COPs).

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APA 7

Gonzalez, T. F. (2007). Ant Colony Optimization. Chapman & Hall/CRC eBooks, 417–430. https://doi.org/10.1201/9781420010749-33

MLA 9

Gonzalez, Teofilo F. “Ant Colony Optimization.” Chapman & Hall/CRC eBooks, 2007, pp. 417–30, https://doi.org/10.1201/9781420010749-33.

Chicago

Gonzalez, Teofilo F. 2007. “Ant Colony Optimization.” Chapman & Hall/CRC eBooks: 417–30. https://doi.org/10.1201/9781420010749-33.

Harvard

Gonzalez, T.F. (2007) ‘Ant Colony Optimization’, Chapman & Hall/CRC eBooks, pp. 417–430. Available at: https://doi.org/10.1201/9781420010749-33.

BibTeX

@incollection{gonzalez2007colony,
  title = {{Ant Colony Optimization}},
  author = {Gonzalez, Teofilo F.},
  booktitle = {Chapman & Hall/CRC eBooks},
  pages = {417--430},
  year = {2007},
  doi = {10.1201/9781420010749-33}
}

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Ant Colony Optimization

Abstract

Cite this paper

An Introduction to Ant Colony Optimization