A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem

作者：

Highlights：

• Multi-objective fuzzy disassembly line balancing problem is studied.

• An improved Pareto based artificial fish swarm algorithm is proposed.

• The Pareto set provides the diversity of non-inferior solutions.

• Comparison with an existing algorithm proves the superiority of the proposed method.

• The practicality of the proposed method is confirmed through an actual instance.

摘要

•Multi-objective fuzzy disassembly line balancing problem is studied.•An improved Pareto based artificial fish swarm algorithm is proposed.•The Pareto set provides the diversity of non-inferior solutions.•Comparison with an existing algorithm proves the superiority of the proposed method.•The practicality of the proposed method is confirmed through an actual instance.

论文关键词：Disassembly line balancing problem,Triangular fuzzy number,Multi-objective optimization,Artificial fish swarm algorithm,Pareto optimal solutions

论文评审过程：Received 9 October 2016, Revised 29 April 2017, Accepted 20 May 2017, Available online 26 May 2017, Version of Record 3 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.053