Open AccessMulti-Objective Ant Lion Optimizer for Stochastic Robotic Disassembly Line Balancing Problem Subject to Resource Constraints
Author(s) -
ChengShun Dong,
Peisheng Liu,
Xi Guo,
Liang Qi,
Shujin Qin,
Gongdan Xu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2024/1/012014
Subject(s) - computer science , reuse , mathematical optimization , ant colony optimization algorithms , maximization , resource consumption , energy consumption , minification , industrial engineering , artificial intelligence , engineering , mathematics , ecology , electrical engineering , biology , waste management
With the development of manufacturing and society, a large amount of end-of-life products are generated but with reuse value. Therefore, it is of great significance to dismantle and reuse them. A robotic linear disassembly line plays an important role and promotes the disassembly efficiency in a disassembly process. In this work, we establish a mathematical model of a linear robotic disassembly line balancing problem, which requires the maximization of profit and minimization of energy consumption. Then, an improved ant lion optimizer is proposed to optimize the objectives of the multi-objective robotic disassembly line balancing problem. The experimental results show that the multi-objective ant lion optimizer has good performance, and the diversity and convergence are better than its peers.