Multi-AGV Task Allocation in Intelligent Production Workshops Based on an Improved NSGA-III Algorithm

DOU Shuihai; YU Chaoyu; BAI Huijuan; WANG Zhaohua; LI Ting; DU Yanping; DING Jie

doi:10.19554/j.cnki.1001-3563.2026.03.013

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (3) : 119-132. DOI: 10.19554/j.cnki.1001-3563.2026.03.013

Automatic and Intelligent Technology

Multi-AGV Task Allocation in Intelligent Production Workshops Based on an Improved NSGA-III Algorithm

DOU Shuihai, YU Chaoyu, BAI Huijuan, WANG Zhaohua, LI Ting, DU Yanping^*, DING Jie

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Abstract

The work aims to construct a multi-objective optimization model with the shortest AGV task completion time, minimum energy consumption and load balance as the optimization objectives to address issues such as unreasonable task allocation and low resource utilization during material handling in small and medium-sized smart production workshops. In order to improve the solution efficiency and solution quality, an improved NSGA-III algorithm was proposed, which adopted a multi-layer coding structure to simplify the decoding process and combined the non-dominated solution distribution to dynamically generate the reference point to adapt to the complex Pareto frontier distribution; At the same time, adaptive mutation and selection operator strategies were introduced to strengthen the global search capability and local convergence performance of the algorithm. Based on the MATLAB platform, simulation experiments were carried out under two operation scenarios, namely, the same starting point and different starting points of AGVs. The results showed that the proposed method outperformed the traditional algorithm in terms of task completion time, energy consumption and load balancing indexes, with the task completion time reduced by 13.9% and 4.64%, energy consumption reduced by 21.87% and 15.45%, and load balancing index decreased by 39.3% and 58.47% respectively. In conclusion, this method effectively enhances the scheduling performance and operational efficiency of the multi-AGV system.

Key words

AGV / task allocation / multi-objective optimization / NSGA-III algorithm

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DOU Shuihai, YU Chaoyu, BAI Huijuan, WANG Zhaohua, LI Ting, DU Yanping, DING Jie. Multi-AGV Task Allocation in Intelligent Production Workshops Based on an Improved NSGA-III Algorithm[J]. Packaging Engineering. 2026, 47(3): 119-132 https://doi.org/10.19554/j.cnki.1001-3563.2026.03.013

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