@inproceedings{fae05bac739e40768a0f97647e2ff083,
title = "An Improved Grey Wolf Optimizer for Flexible Job-shop Scheduling Problem",
abstract = "For the flexible job-shop scheduling problem, an optimal scheduling model with the objective of minimum completion time is established, and an improved grey wolf optimizer is proposed. The algorithm improves the coding method based on Largest Order Value rule of the grey wolf optimizer. At the same time, a local search strategy is introduced to effectively balance the exploration ability and development ability of the algorithm. Finally, experiments verify the effectiveness of the algorithm.",
keywords = "Flexible Job-shop Scheduling Problem, Grey Wolf Optimizer, Local Search, component",
author = "Ye Jieran and Wang Aimin and Ge Yan and Shen Xinyi",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020 ; Conference date: 20-01-2020 Through 22-01-2020",
year = "2020",
month = jan,
doi = "10.1109/ICMIMT49010.2020.9041184",
language = "English",
series = "Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "213--217",
booktitle = "Proceedings of 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2020",
address = "United States",
}