Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2295-2300

Improved cuckoo algorithm for flexible Job-Shop scheduling with dual resource constraints

Luo Haojiaa
Pan Dazhia,b
a. School of Mathematics & Information, b. Institute of Computing Methods & Applications, China West Normal University, Nanchong Sichuan 637009, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0030

Abstract

Aiming at the flexible Job-Shop scheduling problem with dual resource constraints(DRCFJSP), this paper designed a cuckoo algorithm with an improved decoding scheme to solve it with the goal of optimizing the maximum completion time. Since DRCFJSP needs to consider the allocation of machines and the processing situation of workers, this paper improved the traditional decoding method to avoid the conflict of processing time between machines and workers, and made use of the idle time of machines and workers as much as possible during decoding. Under the core framework of the cuckoo algorithm, this paper divided the cuckoo population into three subpopulations randomly, and each subpopulation adopted different Lévy flight methods to search for the optimum independently, and realized the information exchange between subpopulations through the difference operator, which not only enhanced the global search ability of the algorithm, but also balanced the local search ability of the algorithm. Through the experimental simulation analysis of the benchmark test case, the results show the effectiveness and superiority of the improved cuckoo algorithm and the improved decoding method.

Foundation Support

国家自然科学基金资助项目(11871059)
四川省教育厅自然科学基金资助项目(18ZA0469)
西华师范大学英才科研基金资助项目(17YC385)
西华师范大学校级大学生创新创业训练计划项目(cxcy2021312)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0030
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2295-2300
Serial Number: 1001-3695(2022)08-009-2295-06

Publish History

[2022-03-30] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

罗浩嘉, 潘大志. 改进布谷鸟算法求解双资源约束柔性车间调度问题 [J]. 计算机应用研究, 2022, 39 (8): 2295-2300. (Luo Haojia, Pan Dazhi. Improved cuckoo algorithm for flexible Job-Shop scheduling with dual resource constraints [J]. Application Research of Computers, 2022, 39 (8): 2295-2300. )

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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