Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2609-2615

Hyper-heuristic genetic algorithm for hybrid flow shop with rush orders insertion rescheduling problem

Liu Siyu1,2
Li Tieke1,2
Wang Bailin1,2
Yuan Shuaipeng1,2
Zhang Wenxin1,2
1. School of Economics & Management, University of Science & Technology Beijing, Beijing 100083, China
2. Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, Beijing 100083, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0831

Abstract

Aiming at the rescheduling problems of hybrid flow shop with rush order insertion, this paper proposed a hyper-heuristic genetic algorithm based on the two-layer coding. Aiming at the double-decision characteristics of order sort and machine selection in the hybrid flow shop, this algorithm designed a two-layer coding scheme in the low level. Each individual represented both order sort and machine selection information, and corresponded to a unique scheduling solution. Then the low level proposed 12 kinds of sorting and selection heuristics for iterative optimization of individuals. The high level of the algorithm used an adaptive genetic algorithm to determine the operation combination of order sort heuristic and machine selection heuristic and the sort of execution of each combination. And it designed an adaptive mutation operator to optimize the effectiveness of the algorithm. The results of large-scale data experiments show that the proposed algorithm has good solving quality and efficiency.

Foundation Support

国家自然科学基金资助项目(71701016,71231001)
教育部人文社会科学研究青年基金资助项目(17YJC630143)
北京市自然科学基金资助项目(9174038)
中央高校基本科研业务费资助项目(FRF-BR-20-04B)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0831
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2609-2615
Serial Number: 1001-3695(2023)09-007-2609-07

Publish History

[2023-03-30] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

刘思宇, 李铁克, 王柏琳, 等. 混合流水车间插单重调度的超启发式遗传算法 [J]. 计算机应用研究, 2023, 40 (9): 2609-2615. (Liu Siyu, Li Tieke, Wang Bailin, et al. Hyper-heuristic genetic algorithm for hybrid flow shop with rush orders insertion rescheduling problem [J]. Application Research of Computers, 2023, 40 (9): 2609-2615. )

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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