Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 43, 2026 No. 1
201-207

Enhanced gray wolf algorithm for solving flexible job-shop dynamic scheduling problems

Chen Xuefen
Ye Chunming
An Xicai
Liu Zijun
Zhang Shuman
Yan Jinhui
Tang Tianyu
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0153

Abstract

In order to solve the problem of dynamic scheduling of flexible workshops under machine failure and urgent orders, this paper designed an enhanced gray wolf algorithm to minimize the latest completion time of the machine. It designed dynamic pre-decoding and dynamic post-decoding, and optimized the decoding process by scheme segmentation and coding splicing. In terms of the algorithm, it added the convergence factor, the head wolf optimization and the neighborhood optimization of the critical path to effectively avoid falling into the local optimum and improve the algorithm search ability. In terms of algorithm verification: it selected multiple classic examples for static solution to obtain the initial solution, and it simulated the solution for dynamic events and then dynamically optimized. The results show that among the three rescheduling methods, the right shift rescheduling has the highest robustness and the complete rescheduling has the best optimization effect. Compared with its own variant algorithm and other mainstream scheduling algorithms, the enhanced gray wolf algorithm has good performance in optimization results and iteration time, and even has a lower completion time than the initial solution. In general, the optimization results show that the dynamic problem is solved very well and quickly, and the enhanced gray wolf algorithm is feasible and efficient, which is a new and effective solution to this type of problem.

Foundation Support

上海市哲学社会科学一般资助项目(2022BGL010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0153
Publish at: Application Research of Computers Printed Article, Vol. 43, 2026 No. 1
Section: Algorithm Research & Explore
Pages: 201-207
Serial Number: 1001-3695(2026)01-024-0201-07

Publish History

[2025-08-18] Accepted Paper
[2026-01-05] Printed Article

Cite This Article

陈雪芬, 叶春明, 安喜才, 等. 一种增强灰狼算法求解柔性车间动态调度问题 [J]. 计算机应用研究, 2026, 43 (1): 201-207. (Chen Xuefen, Ye Chunming, An Xicai, et al. Enhanced gray wolf algorithm for solving flexible job-shop dynamic scheduling problems [J]. Application Research of Computers, 2026, 43 (1): 201-207. )

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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