Performance analysis of clustering methods for balanced multi-robot task allocations
نویسندگان
چکیده
This paper models the Multi-Robot Task Allocation (MRTA) problem with a balance constraint to improve utilisation (completion time) of robots. Our balancing attempts minimise travel distance difference among robots as well allocates an equal set tasks these The clustering-based approach is employed solve Balanced (BMRTA) for two principal reasons. That is, this clusters given into groups using various clustering techniques each robot and sequences route travelling salesman (TSP) conhull algorithm. work analyses suitability performance respect criteria benchmark dataset. findings suggest that K-means most suitable solving BMRTA complex topologies it scalable deal any number compared Gaussian Mixtures Models (GMM) hierarchical methods.
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ژورنال
عنوان ژورنال: International Journal of Production Research
سال: 2021
ISSN: ['1366-588X', '0020-7543']
DOI: https://doi.org/10.1080/00207543.2021.1955994