A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm

A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm

Addressing challenges in the traditional K-means algorithm, such as the challenge of selecting initial clustering center points and the lack of a maximum limit on the number of clusters, and where the set of tasks in the clusters is not reasonably sorted after the task assignment, which makes the co...

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Bibliografiska uppgifter
Huvudupphovsmän: Youdong Yuan, Ping Yang, Hanbing Jiang, Tiange Shi
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2024-11-01
Serie:Biomimetics
Ämnen:
multi-robot
particle swarm algorithm
task allocation
K-means++ clustering
Länkar:https://www.mdpi.com/2313-7673/9/11/694

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