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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Dynamic multi-objective optimization algorithm based on holt’s differential prediction correction

Liu Zhilin1
Kang Lanlan1,2
Dong Wenyong3
1. Jiangxi University of Science & Technology, School of Information Engineering, Ganzhou Jiangxi 341000, China
2. Gannan University of Science & Technology, School of Information Engineering, Ganzhou Jiangxi 341000, China
3. Wuhan University, School of Computing, Wuhan 430072, China
DOI: 10.19734/j.issn.1001-3695.2024.04.0124

Abstract

To efficiently track the evolving Pareto frontier in dynamic multi-objective optimization problems over time or environment, researchers have proposed a new dynamic multi-objective optimization algorithm, HD-DMOEA, based on environment sensing and prediction correction. This algorithm incorporates three main strategies: employing the Wilcoxon signed rank test to detect environmental changes and introducing a new environment sensing operator to determine the intensity of these changes; constructing the Holt differential prediction correction model to predict the positions of population individuals in the next time window, making corrections based on a reference point during the prediction process to enhance prediction accuracy and accelerate the search speed of the algorithm; and introducing a new mutation method that injects different mutated individuals based on the intensity of environmental changes to maintain population diversity, thereby reducing the likelihood of the population falling into local optima. To verify HD-DMOEA's effectiveness, researchers conducted comparative analyses between HD-DMOEA and five advanced prediction algorithms on the FDA and dMOP test sets. The results demonstrate that HD-DMOEA effectively and dynamically balances the diversity and convergence of populations during the search process, continuously tracking the Pareto frontier and outperforming the other five comparative algorithms.

Foundation Support

国家自然科学基金资助项目(62166019)
江西省自然科学基金资助项目(20232BAB202024)
江西省研究生创新专项资金项目(YC2023-S660)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0124
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-06] Accepted Paper

Cite This Article

刘志霖, 康岚兰, 董文永. 基于Holt差分预测校正的动态多目标优化算法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0124. (Liu Zhilin, Kang Lanlan, Dong Wenyong. Dynamic multi-objective optimization algorithm based on holt’s differential prediction correction [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0124. )

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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