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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
673-676

Hybrid teaching-learning-based optimization algorithm for optimizing tardiness and energy cost on parallel machine scheduling

Wang Yongqi
Wu Fei
Jiang Xiaoxiao
Wang Chunyuan
School of Electronic & Electrical Engineering, Shanghai University of Engineering, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0929

Abstract

For the parallel machine scheduling with controllable processing times(PMS-CPT), this paper proposed a scheduling problem for optimizing tardiness and energy cost. First, this article developed an integer linear programming(ILP) model for the proposed scheduling problem in order to facilitate the CPLEX solver. Second, it established a hybrid teaching-learning-based optimization(HTLBO) algorithm to quickly obtain satisfactory solutions. This algorithm adopted a new coding and decoding method according to the nature of the proposed parallel machine scheduling problem, which overcame the weakness of standard teaching-learning-based optimization algorithm that could not be directly applied to discrete problems. Meanwhile, it also proposed a local optimizer based on variable neighborhood search(VNS), which aimed to enhance the performance of the hybrid algorithm. Finally, it conducted the simulations to solve instances of PMS-CPT. The experimental results demonstrate the feasibility and validity of the proposed ILP model and hybrid algorithm.

Foundation Support

国家自然科学基金资助项目(F020207)
上海市科委资助项目(13510501400)
国家自然科学基金项目(61701295)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0929
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 673-676
Serial Number: 1001-3695(2019)03-006-0673-04

Publish History

[2019-03-05] Printed Article

Cite This Article

王永琦, 吴飞, 江潇潇, 等. 求解并行机拖期与能耗成本优化调度的混合教—学算法 [J]. 计算机应用研究, 2019, 36 (3): 673-676. (Wang Yongqi, Wu Fei, Jiang Xiaoxiao, et al. Hybrid teaching-learning-based optimization algorithm for optimizing tardiness and energy cost on parallel machine scheduling [J]. Application Research of Computers, 2019, 36 (3): 673-676. )

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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