Efficient multi-agent task allocation for collaborative route planning with multiple unmanned vehicles

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Collaborative operation with multiple unmanned systems has drawn significant research attention as the technology for the operation of a single unmanned system have gradually matured for practical applications. Multi-agent task allocation and assignment algorithms are crucial to the effective collaboration between multiple unmanned systems. This study addresses the optimal route planning problem with a group of multi-agent systems and proposes an efficient multi-agent task allocation algorithm. The performance of the proposed approach is demonstrated through numerical simulations and compared with the conventional genetic algorithm in terms of the quality of solutions and computational cost.
Publisher
Elsevier B.V.
Issue Date
2017-07
Language
English
Article Type
Article
Citation

IFAC-PapersOnLine, v.50, no.1, pp.3580 - 3585

ISSN
2405-8963
DOI
10.1016/j.ifacol.2017.08.686
URI
http://hdl.handle.net/10203/226843
Appears in Collection
ME-Journal Papers(저널논문)
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