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Algorithm Research & Explore
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1075-1079,1087

Opposite artificial bee colony algorithm for hybrid flow shop scheduling problem

Ke Xiaodong1
Tao Yifei1
Luo Junbin2
Song Junle1
Ding Xiaopeng1
1. Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology, Kunming 650500, China
2. Kunming Logan KSEC Airport System Company Ltd. , Kunming 650236, China

Abstract

Aiming at the hybrid flow shop scheduling problem with the objective of minimizing the makespan, this paper proposed an opposite artificial bee colony algorithm with opposition-based learning to solve the problem. Firstly, according to the characteristics of hybrid flow shop scheduling problem, this paper established the corresponding mathematical model and simulation optimization model. Secondly, in order to avoid the problem of local optima in the process of optimization, this paper added the opposition-based learning strategy in the three stages of population initialization, employment bee and observation bee, used the reverse order strategy between two points and the element exchange strategy to speed up the optimization, then used the elitist preservation strategy to retain the optimal solution. Finally, the simulation experiment selected two examples and 21 benchmark problems of different scales. The results of simulation experiment verifies that proposed algorithm is effective in solving such problems by comparing with the experimental of related algorithms.

Foundation Support

国家自然科学基金资助项目(51165014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0454
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1075-1079,1087
Serial Number: 1001-3695(2023)04-019-1075-05

Publish History

[2022-11-14] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

可晓东, 陶翼飞, 罗俊斌, 等. 反向人工蜂群算法求解混合流水车间调度问题 [J]. 计算机应用研究, 2023, 40 (4): 1075-1079,1087. (Ke Xiaodong, Tao Yifei, Luo Junbin, et al. Opposite artificial bee colony algorithm for hybrid flow shop scheduling problem [J]. Application Research of Computers, 2023, 40 (4): 1075-1079,1087. )

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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