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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2298-2303

Multi-objective task scheduling model incorporating local search and Pareto domination

Han Diya1
Zhang Fengli1
Yin Jiaqi2
Wang Ruijin1
Han Yingjun1
1. School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 610054, China
2. Sichuan Environmental Information Center, Chengdu 610041, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0812

Abstract

In order to solve the problems of uneven resource utilization and long task completion time in complex task group scheduling, this paper constructed a complex task group resource scheduling model to minimize the mean square error of resource load and the task group completion time, and proposed a multi-objective optimization algorithm based on boundary range local search and NSGA-Ⅱ, called BRLSN. The algorithm used an effective coding method and cross mutation operator for iterative optimization, and constructed an elite retention strategy based on local search in boundary region to expand the search scope of the algorithm and preserved good individuals in the population. Experimental results show that compared with other multi-objective algorithms, the convergence and diversity of BRLSN are significantly improved. At the same time, the algorithm convergence speed is faster, the population quality is higher, and the result value of the final objective function is obviously optimized.

Foundation Support

国家自然科学基金资助项目(61133016)
四川省科技计划资助项目(2020YFG0475,2020YFQ0018)
四川省重大科技专项资助项目(22ZDZX0046)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0812
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2298-2303
Serial Number: 1001-3695(2023)08-009-2298-06

Publish History

[2023-03-10] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

韩迪雅, 张凤荔, 尹嘉奇, 等. 融合局部搜索与Pareto支配的多目标任务调度模型 [J]. 计算机应用研究, 2023, 40 (8): 2298-2303. (Han Diya, Zhang Fengli, Yin Jiaqi, et al. Multi-objective task scheduling model incorporating local search and Pareto domination [J]. Application Research of Computers, 2023, 40 (8): 2298-2303. )

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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