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Robust service composition method for cloud manufacturing based on improved multi-objective whale optimization algorithm

Yin Zuhenga
Xu Hongzhena,b
a. School of Information Engineering, b. School of Software, East China University of Technology, Nanchang 330013, China

Abstract

Existing cloud manufacturing service composition methods are typically developed under the assumption of no anomalies in manufacturing services, which renders current models and methods inefficient or even prone to failure when service anomalies occur. To address this issue, this paper proposes a robust service composition method for cloud manufacturing based on an improved multi-objective whale optimization algorithm. First, the method effectively avoids issues such as inefficiency or task failure caused by anomalies in preferred services by assigning a preferred service and an alternative service to each subtask. Next, the method uses task latency time as a robustness indicator for cloud manufacturing services and constructs a multi-objective cloud manufacturing service composition model that considers both robustness and quality of service requirements. To solve this model, the method designs an improved multi-objective whale optimization algorithm based on a hybrid strategy. Finally, analysis of different arithmetic cases shows that the proposed method outperforms other good methods of convergence and diversity.

Foundation Support

国家自然科学基金资助项目(62466001)
江西省抚州市领军人才计划项目(2021ED008)
江西省网络空间安全智能感知重点实验室室开放项目(JKLCIP202202)
江西省抚州市重点揭榜挂帅项目(2023JBB026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0443
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-10] Accepted Paper

Cite This Article

尹祖恒, 徐洪珍. 基于改进多目标鲸鱼优化算法的云制造鲁棒服务组合方法 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0443. (Yin Zuheng, Xu Hongzhen. Robust service composition method for cloud manufacturing based on improved multi-objective whale optimization algorithm [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0443. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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