Title: Warehouse scheduling in airport freight station with multi-objective artificial bee colony algorithm

Authors: Haiquan Wang; Menghao Su; Jianhua Wei; Shengjun Wen; Xiaobin Xu

Addresses: Zhongyuan Petersburg Aviation College, Zhongyuan University of Technology, 41 Zhongyuan Road, Zhengzhou, 450007, China ' School of Electronics and Information, Zhongyuan University of Technology, 41 Zhongyuan Road, Zhengzhou, 450007, China ' School of Electronics and Information, Zhongyuan University of Technology, 41 Zhongyuan Road, Zhengzhou, 450007, China ' Zhongyuan Petersburg Aviation College, Zhongyuan University of Technology, 41 Zhongyuan Road, Zhengzhou, 450007, China ' School of Automation, Hangzhou Dianzi University, 115 Wenyi Road, Xihu District, Hangzhou, 310018, China

Abstract: To improve the efficiency and safety of automated warehouse, a new scheme is proposed to solve the problem of space allocation considering path planning, different weight as well as the inbound and outbound frequency of cargoes. First of all, the storage location assignment problem was induced as a constraint multi-objective optimisation model whose aims are minimising the gravity centre of shelf and the frequency of inbound and outbound. Then, multi-objective artificial bee colony algorithm and multi-objective particle swarm optimisation algorithm were proposed and the performance was tested on the benchmark functions as well as the problem of storage space allocation. The results show that the proposed strategies effectively solve the problem of optimisation of storage space allocation and realise the efficient operation of the warehouse.

Keywords: airport freight station; storage space allocation; multi-objective artificial bee colony algorithm; multi-objective particle swarm optimisation algorithm.

DOI: 10.1504/IJAMECHS.2021.116460

International Journal of Advanced Mechatronic Systems, 2021 Vol.9 No.2, pp.77 - 84

Received: 04 Apr 2020
Accepted: 30 Nov 2020

Published online: 14 Jul 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article