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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 11
3364-3369

Improved distribution estimation whale algorithm for block chain DAG task scheduling

Xu Jun1
Peng Junfeng1,2
Tang Yong2
Wang Jihong1
Cai Weishan1
1. School of Computing, Guangdong University of Education, Guangzhou 510303, China
2. School of Computing, South China Normal University, Guangzhou 510631, China
DOI: 10.19734/j.issn.1001-3695.2024.04.0094

Abstract

In order to overcome the efficiency issues of single chain technology in blockchain, a new paradigm directed acyclic graphs is flourishing. This article focused on the non independent task scheduling problem considering cost weights in blockchain directed acyclic graphs, and constructed a mathematical model for task scheduling in blockchain DAG, and proposed a new task scheduling algorithm based on improved distribution estimation whale to solve this problem. The new algorithm introduced spatial sampling and statistical learning of EDA in the WOA algorithm to predict the optimal search area, thereby generating excellent new individuals, making the new algorithm have stronger global search ability and faster convergence speed. Finally, through program simulation, it compared the performance of multiple algorithms in terms of convergence speed and global optimization ability. The experiments show that IEWOA has significant advantages over traditional WOA and EDA in the above parameter performance. In addition, comparing with the improved genetic algorithm FPGA, IEWOA also has certain advantages in parameter performance.

Foundation Support

国家自然科学基金资助项目(62306079)
广东省教育厅普通高校科研平台和科研项目(2021ZDZX3016)
广东第二师范学院校级博士人才科研启动专项资助项目(905001900300200033)
广东第二师范学院校级教学质量与教学改革工程项目(2021cyxy02)
广东省教育厅高等教育专项资助项目(2022GXJK287)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0094
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Algorithm Research & Explore
Pages: 3364-3369
Serial Number: 1001-3695(2024)11-023-3364-06

Publish History

[2024-08-05] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

徐俊, 彭俊丰, 汤庸, 等. 改进的分布估计鲸鱼算法求解区块链DAG任务调度问题 [J]. 计算机应用研究, 2024, 41 (11): 3364-3369. (Xu Jun, Peng Junfeng, Tang Yong, et al. Improved distribution estimation whale algorithm for block chain DAG task scheduling [J]. Application Research of Computers, 2024, 41 (11): 3364-3369. )

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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