Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint

Xinshuo Cui, Xiwang Guo, Meng Chu Zhou, Jiacun Wang, Shujin Qin, Liang Qi

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)3055-3061
Number of pages7
JournalIEEE Robotics and Automation Letters
Issue number5
StatePublished - May 1 2023

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence


  • Disassembly
  • optimization and optimal control
  • planning
  • scheduling and coordination
  • task planning


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