@inproceedings{0939c7444c5c4ce3a651f4ba74875559,
title = "An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm",
abstract = "To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms.",
keywords = "artificial bee colony algorithm, cloud manufacturing, service cluster, service composition",
author = "Qingxue Liu and Yanxia Sun and Xia Wang and Yan Wang and Yuqing Tian",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 5th International Conference on Computer Science and Software Engineering, CSSE 2022 ; Conference date: 21-10-2022 Through 23-10-2022",
year = "2022",
month = oct,
day = "21",
doi = "10.1145/3569966.3569972",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "17--21",
booktitle = "CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering",
}
