Title: Research on dynamic task allocation model and method of multi-agent logistics AGV based on improved contract net

Authors: Tongjuan Wu; Baokun Lv; Fangjie Fu; Zifang Tang

Addresses: Beijing HIWING Scientific and Technological Information Institute, Beijing, China ' Beijing HIWING Scientific and Technological Information Institute, Beijing, China ' Beijing HIWING Scientific and Technological Information Institute, Beijing, China ' Faculty of Information Technology, Beijing University of Technology, Beijing, China

Abstract: In order to improve order picking efficiency, using logistics AGV instead of manual operation has become a main trend. This paper studies the dynamic task allocation problem of Multi-Agent Logistics AGV based on improved contract network algorithm. Aiming at the low efficiency and scalability of task allocation in the traditional contract network, and without considering the dynamic environment, this paper first describes the dynamic task in detail. Then, we propose an improved contract network task allocation model, which connects the trust with the task acquaintance database, sets the time limit for managers to wait for bids, the bidding threshold and the buffer pool, limits the number of bids and reduces the waiting time. Finally, simulation experiments are carried out to verify the effectiveness and correctness of AGV dynamic task allocation method based on improved contract network.

Keywords: improved contract net; dynamic task allocation; AGV; multi-agent system.

DOI: 10.1504/IJWMC.2025.146641

International Journal of Wireless and Mobile Computing, 2025 Vol.28 No.4, pp.378 - 388

Received: 13 Oct 2022
Accepted: 04 Feb 2023
Published online: 10 Jun 2025 *

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