Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint
Document Type
Article
Publication Date
5-1-2023
Abstract
With the advancement of science and technology in recent years, the rate of product upgrading by end users has increased, resulting in a high number of End-Of-Life (EOL) products. For environmental protection and economic benefits, disassembly lines are set up to recycle them. A disassembly line balancing problem arises and has attracted widespread attention. In this paper, we design a model to address a class of disassembly line balancing problems in which the main optimization objective is to maximize profits, while keeping carbon emission in a tolerable range. A discrete whale optimization algorithm is proposed to solve them. Its efficiency is verified by comparing its solutions with their analytic solutions obtained from a commercial optimization solver and other swarm intelligence algorithms. Experimental results show that it is significantly faster than its peers in solving large-scale optimization problems while guaranteeing its solutions, quality.
Identifier
85148446861 (Scopus)
Publication Title
IEEE Robotics and Automation Letters
External Full Text Location
https://doi.org/10.1109/LRA.2023.3241752
e-ISSN
23773766
First Page
3055
Last Page
3061
Issue
5
Volume
8
Grant
61903229
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Cui, Xinshuo; Guo, Xiwang; Zhou, Meng Chu; Wang, Jiacun; Qin, Shujin; and Qi, Liang, "Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint" (2023). Faculty Publications. 1768.
https://digitalcommons.njit.edu/fac_pubs/1768