%0 Journal Article %A CHEN Zhan %A GONG Jianning %A LIU Yuanyuan %A XU Jingbang %T Multi-AGV System Path Optimization Algorithm Based on Tabu Search %D 2021 %R 10.3778/j.issn.1002-8331.2007-0106 %J Computer Engineering and Applications %P 273-278 %V 57 %N 10 %X

In the path planning of the multi-AGV(Automated Guided Vehicles) system, the topology map model of the AGV is constructed, and the tabu algorithm based on the global neighborhood search is designed to solve the shortest path combinatorial optimization problem efficiently and accurately. Then group experiments under different scale calculation examples are conducted to verify the optimization effect of the tabu search algorithm on path energy consumption attributes, time attributes, and path load balancing target parameters, in order to improve the stability and efficiency of the multi-AGV system.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2007-0106