Algorithm Research & Explore
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739-743,757

Evolutionary job scheduling algorithm based on population optimization by deep reinforcement learning

Zeng Detian
Zeng Zengri
Zhan Jun
College of Computer Science & Technology, National University of Defense Technology, Changsha 410073, China

Abstract

The sorting operation of the production line in mechanical manufacturing has the double complexity of the problem and data. To optimize the sorting operation and improve production efficiency, this paper designed a method for data representation and an evolutionary algorithm based on population optimization. At the same time, this paper arranged and disclosed a real industrial data set. The method for data representation abstracted the original job data by referring to the bag-of-words model. The evolutionary algorithm used deep reinforcement learning to initialize the population in the genetic algorithm and introduced the elite retention strategy, which improved the optimization ability of the algorithm. Finally, it compared the proposed algorithm with other algorithms on the real industrial data set and travelling salesman problem data set. The results show that the proposed algorithm can find a better sorting sequence and the access path, which verifies the effectiveness of the algorithm.

Foundation Support

国家重点研究开发计划资助项目
国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0356
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 739-743,757
Serial Number: 1001-3695(2022)03-016-0739-05

Publish History

[2021-11-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

曾德天, 曾增日, 詹俊. 基于深度强化学习种群优化的演化式分拣调度算法 [J]. 计算机应用研究, 2022, 39 (3): 739-743,757. (Zeng Detian, Zeng Zengri, Zhan Jun. Evolutionary job scheduling algorithm based on population optimization by deep reinforcement learning [J]. Application Research of Computers, 2022, 39 (3): 739-743,757. )

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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