@inproceedings{d0fdf316a79a4c4dabd97a5080056d8c,
title = "A job-shop batch scheduling method based on game theory",
abstract = "As the scheduling objective of taking the maximal profit of each task consisting of work pieces submitted bycustomers, a non-cooperation game model for batch scheduling is presented. In order to effectively find the Nash equilibrium point of the model, a strategy about multiple transport and gapless equivalent batch splitting is adopted. A hybrid adaptive genetic algorithm based on hill-climbing method is designed. A numerical case study is carried out to demonstrate the validity of scheduling methods.",
keywords = "Batch scheduling, Batch scheduling strategy, Game theory, Hybrid adaptive GA",
author = "Rui Wang and Guanghui Zhou",
year = "2013",
doi = "10.1109/ISAM.2013.6643523",
language = "英语",
isbn = "9781479916573",
series = "Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013",
pages = "183--186",
booktitle = "Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013",
note = "2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013 ; Conference date: 30-07-2013 Through 02-08-2013",
}