Task Allocation of Multi-AUV Based on MODPSO-SA Algorithm

LU Qian; PAN Chengsheng; DING Yuanming

doi:10.3969/j.issn.1671-637x.2021.01.008

Journals >Electronics Optics & Control >Volume 28 >Issue 1 >Page 33 > Article

Electronics Optics & Control
Vol. 28, Issue 1, 33 (2021)

Task Allocation of Multi-AUV Based on MODPSO-SA Algorithm

LU Qian^1,2, PAN Chengsheng^1,2, and DING Yuanming^1,2,*

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2021.01.008 Cite this Article

LU Qian, PAN Chengsheng, DING Yuanming. Task Allocation of Multi-AUV Based on MODPSO-SA Algorithm[J]. Electronics Optics & Control, 2021, 28(1): 33 Copy Citation Text

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Abstract

In view of cooperative task allocation of Autonomous Underwater Vehicle (AUV), a Multi-Objective Discrete Particle Swarm Optimization and Simulated Annealing (MODPSO-SA) algorithm based on Pareto is proposed.In order to make the particle swarm optimization avoid from falling into local minimum, a new multi-objective local search strategy is proposed by integrating the improved simulated annealing.The simulation results show that the MODPSO-SA algorithm can obtain multiple Pareto solution sets, and solve the multi-AUV task allocation problem effectively.

Keywords

multi-objective optimization multi-objective particle swarm task allocation underwater vehicle