The application of particle swarm optimization algorithm in multi-robot task allocation problem

Tianshuo Mo; Biwei Tang

doi:10.1117/12.2637509

13 May 2022 The application of particle swarm optimization algorithm in multi-robot task allocation problem

Tianshuo Mo, Biwei Tang

Proceedings Volume 12248, Second International Conference on Sensors and Information Technology (ICSI 2022); 122481G (2022) https://doi.org/10.1117/12.2637509
Event: 2nd International Conference on Sensors and Information Technology (ICSI 2022), 2022, Nanjing, China

Abstract

In contemporary society, with the increasing difficulty of tasks required by robots, multi-robot system has gradually become a research hotspot. As multi-robot task allocation is an important part of multi-robot system cooperation, it has also become a hot topic of research. In this paper, particle swarm optimization is used as the basic optimization tool to study the optimization solution of multi-robot task allocation problem. The multi-robot task allocation problem solved by the improved particle swarm optimization, the three main control parameters of the particle swarm optimization are updated by the linear parameter updating rule. Finally, the MATLAB simulation verification is given. The simulation results show that the algorithm has good adaptability in solving the multi-robot task allocation problem.

Citation Download Citation

Tianshuo Mo and Biwei Tang "The application of particle swarm optimization algorithm in multi-robot task allocation problem", Proc. SPIE 12248, Second International Conference on Sensors and Information Technology (ICSI 2022), 122481G (13 May 2022); https://doi.org/10.1117/12.2637509

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