A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm
作者：
Highlights：
• Robust fuzzy modeling can address the effect of uncertainty in parameters.
• The priority-based solution encoding is useful in construction of meta-heuristics.
• The proposed whale optimization algorithm provides fast high-quality solutions.
• The solution quality is consistent without parameter-dependent behavior.
摘要
•Robust fuzzy modeling can address the effect of uncertainty in parameters.•The priority-based solution encoding is useful in construction of meta-heuristics.•The proposed whale optimization algorithm provides fast high-quality solutions.•The solution quality is consistent without parameter-dependent behavior.
论文关键词：Closed-loop supply chain network design,Modified priority-based encoding,Uncertainty,Whale optimization algorithm
论文评审过程：Received 19 June 2018, Revised 10 September 2018, Accepted 10 September 2018, Available online 11 September 2018, Version of Record 24 September 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.027
