Lexicographic bottleneck mixed-model assembly line balancing problem: Artificial bee colony and tabu search approaches with optimised parameters
作者：
Highlights：
• Lexicographic bottleneck mixed-model assembly line balancing problem is studied.
• Artificial bee colony and tabu search algorithms are proposed.
• Parameters of the proposed algorithms are optimised using response surface method.
• Test problems are solved to assess the performance of the proposed methods.
• It is observed that both algorithms provide promising results in reasonable times.
摘要
•Lexicographic bottleneck mixed-model assembly line balancing problem is studied.•Artificial bee colony and tabu search algorithms are proposed.•Parameters of the proposed algorithms are optimised using response surface method.•Test problems are solved to assess the performance of the proposed methods.•It is observed that both algorithms provide promising results in reasonable times.
论文关键词：Mixed-model assembly line balancing,Lexicographic bottleneck,Artificial bee colony,Tabu search, Parameter optimisation,Response surface methodology
论文评审过程：Received 9 May 2015, Revised 16 December 2015, Accepted 17 December 2015, Available online 23 December 2015, Version of Record 19 January 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.018
