Journal ArticleDOI
Self-organized Shortcuts in the Argentine Ant
TLDR
Les fourmis I. humilis choisissent le chemin le plus court pour aller de la colonie au lieu d'approvisionnement.Abstract:
Les fourmis I. humilis choisissent le chemin le plus court pour aller de la colonie au lieu d'approvisionnementread more
Citations
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Journal ArticleDOI
Ant colony system: a cooperative learning approach to the traveling salesman problem
TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.
Book
Ant Colony Optimization
TL;DR: Ant colony optimization (ACO) is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals as discussed by the authors 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.
Journal ArticleDOI
Ant algorithms for discrete optimization
TL;DR: An overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' foraging behavior, and the ant colony optimization (ACO) metaheuristic is presented.
Book
Metaheuristics: From Design to Implementation
TL;DR: This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling.
Book ChapterDOI
Ant Colony Optimization
TL;DR: Ant Colony Optimization (ACO) is a stochastic local search method that has been inspired by the pheromone trail laying and following behavior of some ant species as discussed by the authors.
References
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Journal ArticleDOI
The blind leading the blind: Modeling chemically mediated army ant raid patterns
TL;DR: Le modele propose et les simulations de Monte-Carlo montrent que le type caracteristique d'essaimage provient des interactions entre de nombreux individus, chacun avec un comportement de marquage de piste and de suivi de pistes.
Journal ArticleDOI
The foraging system of Pheidole militicida (Hymenoptera: Formicidae)
Bert Hölldobler,Michael Möglich +1 more
TL;DR: Foragers of the harvester ant Pheidole militicida travel along well defined trunk trails to their foraging grounds as mentioned in this paper, which can be subdivided into three major sections: trunk, branches and twigs.
Journal ArticleDOI
Homing in the harvester ant Pogonomyrmex badius.
TL;DR: During homing, the harvester ant Pogonomyrmex badius orients both to the sun and to chemical cues, which assists foraging workers to return precisely to their own nests even when the nest populations are dense.
Journal ArticleDOI
Zur jagdstrategie einiger orientalicher Leptogenys-arten (Formicidae: Ponerinae)
U. Maschwitz,M. Mühlenberg +1 more
TL;DR: The sociobiology of Leptogenys ocellifera especially its predatory behavior and food recruitment was investigated and it was found that the nest emigration is released by environmental factors.
Journal ArticleDOI
Trail-following responses of the Argentine ant,Iridomyrmex humilis (Mayr), to a synthetic trail pheromone component and analogs.
TL;DR: Behavioral evidence indicates that (Z)-9-hexadecenal (Z9-16∶ALD) is a trail pheromone component ofIridomyrmex humilis, and that the true trail phersomone may be multicomponent.