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Artificial ants

In computer science, Artificial Ants stand for multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2010
Review
2010
Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone trail laying and following behavior of some… Expand
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Highly Cited
2009
Highly Cited
2009
Ant Colony Optimization (ACO) is a stochastic local search method that has been inspired by the pheromone trail laying and… Expand
Review
2009
Review
2009
Ant algorithms are optimisation algorithms inspired by the foraging behaviour of real ants in the wild. Introduced in the early… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper a model and several solution procedures for a novel type of vehicle routing problems where time windows for the… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper, we present a hybrid algorithm combining ant colony optimization algorithm with the taboo search algorithm for the… Expand
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Review
2006
Review
2006
The introduction of ant colony optimization (ACO) and to survey its most notable applications are discussed. Ant colony… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper an ant colony system (ACS) with communication strategies is developed. The artificial ants are partitioned into… Expand
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Highly Cited
2003
Highly Cited
2003
The field of ACO algorithms is very lively, as testified, for example, by the successful biannual workshop (ANTS—From Ant… Expand
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Review
2000
Review
2000
Ant colonies, and more generally social insect societies, are distributed systems that, in spite of the simplicity of their… Expand
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Highly Cited
1998
Highly Cited
1998
This paper introduces AntNet, a novel adaptive approach to routing tables learning in connectionless communications networks… Expand
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