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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3055-3061 |
| Number of pages | 7 |
| Journal | IEEE Robotics and Automation Letters |
| Volume | 8 |
| Issue number | 5 |
| DOIs | |
| State | Published - 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
Keywords
- Disassembly
- optimization and optimal control
- planning
- scheduling and coordination
- task planning