An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm

Qingxue Liu; Yanxia Sun; Xia Wang; Yan Wang; Yuqing Tian

doi:10.1145/3569966.3569972

An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm

Qingxue Liu
, Yanxia Sun
, Xia Wang
, Yan Wang
, Yuqing Tian

Electrical and Electronic Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering
Subtitle of host publication	Conference Proceedings
Publisher	Association for Computing Machinery
Pages	17-21
Number of pages	5
ISBN (Electronic)	9781450397780
DOIs	https://doi.org/10.1145/3569966.3569972
Publication status	Published - 21 Oct 2022
Event	5th International Conference on Computer Science and Software Engineering, CSSE 2022 - Guilin, China Duration: 21 Oct 2022 → 23 Oct 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Conference on Computer Science and Software Engineering, CSSE 2022
Country/Territory	China
City	Guilin
Period	21/10/22 → 23/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

artificial bee colony algorithm
cloud manufacturing
service cluster
service composition

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3569966.3569972

Cite this

Liu, Q., Sun, Y., Wang, X., Wang, Y., & Tian, Y. (2022). An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm. In CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings (pp. 17-21). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3569966.3569972

Liu, Qingxue ; Sun, Yanxia ; Wang, Xia et al. / An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm. CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings. Association for Computing Machinery, 2022. pp. 17-21 (ACM International Conference Proceeding Series).

@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",

}

Liu, Q, Sun, Y, Wang, X, Wang, Y & Tian, Y 2022, An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm. in CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 17-21, 5th International Conference on Computer Science and Software Engineering, CSSE 2022, Guilin, China, 21/10/22. https://doi.org/10.1145/3569966.3569972

An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm. / Liu, Qingxue; Sun, Yanxia; Wang, Xia et al.
CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings. Association for Computing Machinery, 2022. p. 17-21 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm

AU - Liu, Qingxue

AU - Sun, Yanxia

AU - Wang, Xia

AU - Wang, Yan

AU - Tian, Yuqing

PY - 2022/10/21

Y1 - 2022/10/21

N2 - 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.

AB - 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.

KW - artificial bee colony algorithm

KW - cloud manufacturing

KW - service cluster

KW - service composition

UR - https://www.scopus.com/pages/publications/85145566608

U2 - 10.1145/3569966.3569972

DO - 10.1145/3569966.3569972

M3 - Conference contribution

AN - SCOPUS:85145566608

T3 - ACM International Conference Proceeding Series

SP - 17

EP - 21

BT - CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering

PB - Association for Computing Machinery

T2 - 5th International Conference on Computer Science and Software Engineering, CSSE 2022

Y2 - 21 October 2022 through 23 October 2022

ER -

Liu Q, Sun Y, Wang X, Wang Y, Tian Y. An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm. In CSSE 2022 - 2022 5th International Conference on Computer Science and Software Engineering: Conference Proceedings. Association for Computing Machinery. 2022. p. 17-21. (ACM International Conference Proceeding Series). doi: 10.1145/3569966.3569972

An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this