Efficient multi-agent task allocation for collaborative route planning with multiple unmanned vehicles. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Yoon, Sukmin; Kim, Jinwhan
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 3580
• Page End: 3585
• Publication Date: 2017-07
• Subjects: Multi-vehicle systems -- Mission planning -- decision making -- Task allocation-sharing -- job design -- Autonomous vehicles -- Trajectory -- path planning; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.686
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.