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Algorithm Research & Explore
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975-979

Solving Job-Shop scheduling problem by quantum whale optimization algorithm

Yan Xu
Ye Chunming
Yao Yuanyuan
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

To overcome whale optimization algorithm's disadvantages of poor convergence and being easily trapped in local optima in solving Job-Shop scheduling problem, this paper proposed a quantum whale optimization algorithm(QWOA) based on the idea of quantum computation. Then it provided the computational complexity analysis, global convergence proof and simulation experiments of QWOA. Based on a set of 11 JSP benchmark instances, the simulation experiments show that QWOA has better results than whale optimization algorithm(WOA), cuckoo search(CS) and grey wolf optimizer(GWO), in the minimum value, average value and success rate. Finally, this paper concludes that QWOA has the merits of higher convergence accuracy, higher local optima avoidance and better exploration.

Foundation Support

国家自然科学基金资助项目(71271138)
上海理工大学科技发展项目(16KJFZ028)
上海市高原学科项目(GYXK1201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0985
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 975-979
Serial Number: 1001-3695(2019)04-004-0975-05

Publish History

[2019-04-05] Printed Article

Cite This Article

闫旭, 叶春明, 姚远远. 量子鲸鱼优化算法求解作业车间调度问题 [J]. 计算机应用研究, 2019, 36 (4): 975-979. (Yan Xu, Ye Chunming, Yao Yuanyuan. Solving Job-Shop scheduling problem by quantum whale optimization algorithm [J]. Application Research of Computers, 2019, 36 (4): 975-979. )

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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