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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 8
2343-2350

General job shop scheduling optimization considering mandatory concurrent operations on same machine

Jin Hong
Zhang Hucheng
Xin Dequan
Lyu Shengping
School of Engineering, South China Agricultural University, Guangzhou 510642, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0609

Abstract

The combination processing of molds and electronic product joint inspection introduce the mandatory concurrent operations on the same machine(MCDSM), which breaks the constraint that the same machine cannot process different jobs at the same time in the job shop scheduling(JSP). To solve this type of job shop scheduling problem, this paper proposed an adaptive hybrid initialization genetic algorithm(AHIGA). Firstly, this paper defined the problem as a generalized JSP considering mandatory concurrent operations on the same machine(GJSPMCO) problem, and established an optimization model using mixed integer programming with the objective of minimizing the maximum completion time. Next, it designed corresponding encoding and decoding techniques to support the representation and resolution of feasible scheduling plans within the constraints of MCOSM. Meanwhile, it established a population hybrid initialization method to generate high-quality feasible solutions. This paper also designed novel crossover and mutation operation methods to ensure the feasibility of newly generated solutions under the constraint of MCOSM. Additionally, it constructed an adaptive crossover and mutation operators to enable the adaptive updating of offspring, thereby enhancing the algorithm's global search capability. Finally, it constructed 40 test cases based on JSP benchmark, and used these test cases and an example of joint inspection of electronic products for experiments. The results show that the proposed model and algorithm can effectively solve GJSPMCO problem, and the improvement strategies can enhance the quality of solutions, demonstrating the feasibility of the model and the superiority of AHIGA.

Foundation Support

国家自然科学基金资助项目(52275487)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0609
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 8
Section: Algorithm Research & Explore
Pages: 2343-2350
Serial Number: 1001-3695(2024)08-014-2343-08

Publish History

[2024-03-08] Accepted Paper
[2024-08-05] Printed Article

Cite This Article

金鸿, 张胡成, 信德全, 等. 考虑强制同机并行作业的广义作业车间调度优化 [J]. 计算机应用研究, 2024, 41 (8): 2343-2350. (Jin Hong, Zhang Hucheng, Xin Dequan, et al. General job shop scheduling optimization considering mandatory concurrent operations on same machine [J]. Application Research of Computers, 2024, 41 (8): 2343-2350. )

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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