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Convergence of ant colony multi-agent swarms

Daniel Jarne Ornia, Manuel Mazo

发表年份
2020
引用次数
4
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摘要

Ant Colony algorithms are a set of biologically inspired algorithms used commonly to solve distributed optimization problems. Convergence has been proven in the context of optimization processes, but these proofs are not applicable in the framework of robotic control. In order to use Ant Colony algorithms to control robotic swarms, we present in this work more general results that prove asymptotic convergence of a multi-agent Ant Colony swarm moving in a weighted graph.

关键词

Ant colony optimization algorithmsConvergence (economics)Parallel metaheuristicComputer scienceSwarm behaviourAnt colonyMathematical optimizationMetaheuristicMulti-agent systemContext (archaeology)

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