Title: Research on the logistics robot task allocation method based on improved ant colony algorithm

Authors: Fei Xue; Tingting Dong

Addresses: School of Information, Beijing Wuzi University, Beijing 101149, China ' School of Information, Beijing Wuzi University, Beijing 101149, China

Abstract: In this paper, multiple logistics robot task allocation in an intelligent warehouse system is studied. First, the task allocation model is developed based on two objectives of time balancing among logistics robots and the correlation between tasks. Then, the model is solved using the improved ant colony algorithm which innovates from the updating rule of pheromone and the setting of heuristic function. Finally, by simulation experiment, on the one hand, the improved ant colony algorithm can be used to solve the logistics robot task allocation and get a task allocation scheme. On the other hand, the validity of the improved ant colony algorithm can be verified by comparing the improved and original ant colony algorithm.

Keywords: task allocation; logistics robot; intelligent warehouse system; ant colony algorithm.

DOI: 10.1504/IJWMC.2018.093855

International Journal of Wireless and Mobile Computing, 2018 Vol.14 No.4, pp.307 - 311

Received: 12 Oct 2017
Accepted: 31 Jan 2018
Published online: 07 Aug 2018 *

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