An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm-Reference-Cited by-同舟云学术

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

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022)
language:
Short-container-title:

Author:

Liu Qingxue¹^ORCID,Sun Yanxia²^ORCID,Wang Xia³^ORCID,Wang Yan⁴^ORCID,Tian Yuqing⁵^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, Kunming University, China and Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa

2. Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa

3. School of Fine Art and Design, Kunming University, China

4. School of Mechanical and Electrical Engineering, Kunming University, China

5. School of Information Science and Technology, Qingdao University of Science and Technology, China

Funder

Kunming University Foundation

Yunnan Province Science and Technology Department

Yunnan Provincial Education Department

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3569966.3569972

Reference17 articles.

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2. Optimized Artificial Bee Colony Algorithm for Web Service Composition Problem;Zhang S;International Journal of Machine Learning and Computing,2021

3. An efficient two-phase approach for reliable collaboration-aware service composition in cloud manufacturing

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5. Credible Web Service Composition based on Improved Multi-objective Particle Swarm Optimization