@inproceedings{1b9e91b7c35a48a18f6abbdf3a54b923,
title = "An artificial bee colony based hyper-heuristic approach for inter-cell scheduling considering transportation capacity",
abstract = "The existence of inter-cell transfers has made the idea of creating completely independent cells impossible in cellular manufacturing systems (CMS). In this paper, an inter-cell scheduling problem with a transportation capacity constraint is analyzed in the context of the equipment manufacturing, which is essentially the coordination between intra-cell part production and inter-cell transportation. An artificial bee colony (ABC)-based hyper-heuristic with decision block (AHD) approach is proposed, in which a dynamic decision block strategy is used to adaptively group several decision-making points into one, namely decision block, and ABC is used for the selection of suitable rules for each decision block, respectively. A comparison between AHD and a heuristic-search genetic algorithm is conducted. The computational result has shown a better performance of the proposed method in minimizing total weighted tardiness.",
keywords = "decision block, hyper-heuristic, Scheduling, transportation",
author = "Zhi Li and Yunna Tian and Dan Zheng and Zhaohe Liu and Dongni Li",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260044",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2645--2650",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}