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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 7

Fruit fly cooperation search optimization algorithm for solving mixed-model assembly flexible Job-Shop scheduling problem

Guo Chena
Zeng Jiayib,c
Yang Zhijieb,c
a. School of Safety Science & Emergency Management, b. School of Mechanical & Electrical Engineering, c. Hubei Digital Manufacturing Key Laboratory, Wuhan University of Technology, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2024.12.0514

Abstract

This paper studied the Mixed-model assembly flexible job-shop scheduling problem with lot streaming, considering the close interactions among production, transportation, inventory, and assembly. The objective is to minimize makespan and total cost, and it proposed a bi-level interactive multi-objective hybrid algorithm: The multi-objective particle swarm optimization combines with the fruit fly cooperation search optimization algorithm (FCSOA) , the outer layer determined the optimal batching strategy, while the inner layer computed the optimal scheduling plan under the strategy and converted it into fitness values to feed back to the outer layer, thereby enhancing solution performance. The FCSOA improves the traditional fruit fly optimization algorithm by incorporating the collaborative search process, it adopts the improved precedence operation crossover and multi-point preservative crossover to optimize job sequencing and machine allocation, respectively. Finally, it generated 10 test instances based on real production data from a medical device enterprise for extensive experimentation. The comparison with multiple existing algorithms showed that the FCSOA achieved faster convergence speed and more evenly distributed Pareto front solutions. This research provides a new effective solution to solve the Mixed-model assembly flexible job-shop scheduling problem with lot streaming, offering high practical value.

Foundation Support

国家文化和旅游科技创新工程项目(20211g0085)
湖北创新发展研究院资助项目(CX2023-1-3)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.12.0514
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 7

Publish History

[2025-03-14] Accepted Paper

Cite This Article

郭晨, 曾嘉怡, 杨志杰. 基于果蝇协同算法求解双目标混装柔性作业车间分批调度问题 [J]. 计算机应用研究, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0514. (Guo Chen, Zeng Jiayi, Yang Zhijie. Fruit fly cooperation search optimization algorithm for solving mixed-model assembly flexible Job-Shop scheduling problem [J]. Application Research of Computers, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0514. )

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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