Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint
Xinshuo Cui, Xiwang Guo, MengChu Zhou, Jiacun Wang, Shujin Qin, Liang Qi
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.
BibTeX
@inproceedings{ral2023_discretewhaleopt,
title = {Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint},
author = {Xinshuo Cui and Xiwang Guo and MengChu Zhou and Jiacun Wang and Shujin Qin and Liang Qi},
booktitle = {RA-L 2023},
year = {2023}
}