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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3241-3246,3253

Self-adaptive hybrid particle swarm optimization for permutation flow shop scheduling problem

Xie Meihua
Li Yanwu
Ge Pengdan
College of Electronic & Information Engineering, Chongqing Three Gorges University, Chongqing 404020, China
DOI: 10.19734/j.issn.1001-3695.2023.03.0105

Abstract

To solve the permutation flow shop scheduling problem with the objective to minimize makespan more effectively, this paper proposed a self-adaptive hybrid particle swarm optimization(SHPSO) algorithm. The algorithm combined Q-learning to design a parameter adaptive update strategy to balance the exploration and development of the algorithm. It also introduced a particle stagnation judgment method, used the tie-breaking mechanism and Taillard acceleration algorithm to improve the local search strategy based on iterated greedy to perform local search on global extremes and help particles jump out of the local optimum. The experimental results show that the average relative percentage deviation(RPDavg) achieved by the SHPSO algorithm is at least 83.2% lower than that of the other four improved PSO algorithms, providing a significant advantage in solution quality.

Foundation Support

重庆市教育委员会科学技术研究项目(KJQN202001224)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0105
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Algorithm Research & Explore
Pages: 3241-3246,3253
Serial Number: 1001-3695(2023)11-006-3241-06

Publish History

[2023-06-07] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

谢美华, 李艳武, 葛棚丹. 自适应混合粒子群算法求解置换流水车间调度问题 [J]. 计算机应用研究, 2023, 40 (11): 3241-3246,3253. (Xie Meihua, Li Yanwu, Ge Pengdan. Self-adaptive hybrid particle swarm optimization for permutation flow shop scheduling problem [J]. Application Research of Computers, 2023, 40 (11): 3241-3246,3253. )

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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