Task allocation of multiple vehicles to attack targets by using particle swarm optimization algorithm

Ruping Zou; Jianshu Liu; Hongbo Shi; Yingmin Yi

doi:10.1117/12.2589511

27 January 2021 Task allocation of multiple vehicles to attack targets by using particle swarm optimization algorithm

Ruping Zou, Jianshu Liu, Hongbo Shi, Yingmin Yi

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 1172022 (2021) https://doi.org/10.1117/12.2589511
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

This paper proposes a particle swarm optimization (PSO) algorithm-based approach for solving multi-vehicle tasks allocation problem. Firstly, by analyzing the missile capacity and voyage constraints associated with vehicles, we establish the functions of threat cost, voyage cost, and attack befits. Then the mathematical model of the considered multi-vehicle task assignment is presented. Secondly, based on the position of a particle, we define the corresponding assignment vector, from which a feasible task assignment solution can be extracted. Such a solution satisfies the considered constraints. Finally, based on PSO, we develop a multi-vehicle task allocation algorithm. A simulation experiment verifies the superiority of proposed algorithm by compared it with other existing method.

Citation Download Citation

Ruping Zou, Jianshu Liu, Hongbo Shi, and Yingmin Yi "Task allocation of multiple vehicles to attack targets by using particle swarm optimization algorithm", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172022 (27 January 2021); https://doi.org/10.1117/12.2589511

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