id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-27931	Wang, Zhibin; Zhu, Jianjun	Solving Multi-robot Task Assignment Problem based on Improved Genetic Algorithm	2024	6	.pdf	application/pdf	3463	165	52	Through experimental comparison, the algorithm in this paper has improved the balance of task allocation and solution efficiency, can adapt to the task allocation of warehousing environments with different degrees of task numbers, and has obvious advantages in solving multi-robot task allocation. [3]proposed a warehouse robot task allocation algorithm based on the immune ant colony optimization algorithm, with the robot's total path as the goal, to achieve multi-objective task allocation; Zhou Hang et al.[4] proposed a hybrid genetic taboo search algorithm, with the robot delivery cost as the goal, to improve the overall operation efficiency of the warehouse; Deng Fuqin et al.	cache/fcis-27931.pdf	txt/fcis-27931.txt