Algorithm Research & Explore
|
120-124,128

Method to solve Job-Shop scheduling problem using deep recurrent neural network model with embedded pointer network

Ren Jianfeng1,2
Ye Chunming1
1. School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China
2. School of Computer & Information Engineering, Henan University of Economics & Law, Zhengzhou 450018, China

Abstract

This paper proposed a data-driven Job-Shop scheduling algorithm. It derived the training samples from some benchmark instances and actual production data. It constructed the feature data of the samples using the feature function and then normalized. It constituted the tag data by the mapping relations between the scheduling tasks and the corresponding scheduling rules. This paper embedded a pointer network into the main framework of the LSTM recurrent neural network model so that the workpiece with the highest probability in the current sequence would be passed to the buffer at first, which improved the training speed and training quality of the neural network. The result of an experiment shows that the proposed model is effective in solving Job-Shop scheduling problem after training. This study provides a new idea for solving the Job-Shop scheduling problem.

Foundation Support

国家自然科学基金资助项目(71840003)
上海理工大学科技发展资助项目(2018KJFZ043)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0602
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Algorithm Research & Explore
Pages: 120-124,128
Serial Number: 1001-3695(2021)01-024-0120-05

Publish History

[2021-01-05] Printed Article

Cite This Article

任剑锋, 叶春明. 嵌入指针网络的深度循环神经网络模型求解作业车间调度问题 [J]. 计算机应用研究, 2021, 38 (1): 120-124,128. (Ren Jianfeng, Ye Chunming. Method to solve Job-Shop scheduling problem using deep recurrent neural network model with embedded pointer network [J]. Application Research of Computers, 2021, 38 (1): 120-124,128. )

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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