An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem

• Published in: Applied soft computing Vol. 95; p. 106544
• Main Authors: Li, Yibing, Huang, Weixing, Wu, Rui, Guo, Kai
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: Artificial bee colony (ABC); Dynamic neighborhood search; Flexible job-shop scheduling problem; Low-carbon; Multi-objective optimization; Flexible job-shop scheduling problem; Multi-objective optimization; Dynamic neighborhood search; Artificial bee colony (ABC); Low-carbon

Based on the analysis of multi-objective flexible job-shop scheduling problem (FJSP), a multi-objective low-carbon job-shop scheduling problem(MLFJSP) with variable processing speed constraint is proposed in this paper. The optimization objectives of MLFJSP include minimizing the makespan, total car...