@inproceedings{0f3cacfdfb9b4079bbed047688bad439,
title = "Improvements to genetic algorithm for flexible job shop scheduling with overlapping in operations",
abstract = "Flexible job-shop scheduling problem (FJSP) is an extended job-shop scheduling problem. FJSP allows an operation to be processed by several different machines. FJSP with overlapping in operations means that each operation is divided into several sublots. Sublots are processed and transferred separately without waiting for the entire operation to be processed. In previous research, a mathematical model was developed and a genetic algorithm proposed to solve this problem. In this study, we try to improve the procedure of previous research to achieve better results. The proposed improvements were tested on some benchmark problems and compared with the results obtained by previous research.",
keywords = "Flexible job shop, Genetic algorithm, Overlapping in operation, Scheduling",
author = "Yiyong He and Wei Weng and Shigeru Fujimura",
note = "Funding Information: ACKNOWLEDGMENT The authors acknowledge the support of JSPS Grants-in-Aid for Scientific Research (KAKENHI) Grant Number 15K16296. Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "27",
doi = "10.1109/ICIS.2017.7960100",
language = "English",
series = "Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "791--796",
editor = "Xiaohui Cui and Shaowen Yao and Simon Xu and Guobin Zhu",
booktitle = "Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017",
}