title: Inspiration for optimization from social insect behaviour.
abstract: Research in social insect behaviour has provided computer scientists with powerful methods for designing distributed control and optimization algorithms. These techniques are being applied successfully to a variety of scientific and engineering problems. In addition to achieving good performance on a wide spectrum of 'static' problems, such techniques tend to exhibit a high degree of flexibility and robustness in a dynamic environment.
authors.affiliation: Santa Fe Institute, New Mexico 87501, USA. eric.bonabeau@eurobios.com
authors.forename: E
authors.initials: E
authors.lastname: Bonabeau
authors.forename: M
authors.initials: M
authors.lastname: Dorigo
authors.forename: G
authors.initials: G
authors.lastname: Theraulaz
mesh_terms: D000465:Algorithms; D000819:Animal Communication; D000818:Animals; D001000:Ants / Q000502:physiology*; D005247:Feeding Behavior; D008954:Models, Biological; D012919:Social Behavior