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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Surrogate-assisted multi-objective evolutionary algorithm based on determinantal point processes

Wu Zicong
Li Jinlong
School of Artificial Intelligence & Data Science, University of Science & Technology of China, Hefei 230026, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0037

Abstract

To enhance the diversity and convergence of the solution set used for updating the surrogate models and thereby improve the accuracy of the surrogate models, this paper proposed a Surrogate-Assisted Evolutionary Algorithm (SAEA) based on Determinantal Point Processes (DPPs) . Firstly, this paper proposed a surrogate management method based on DPPs. The method selected a subset from the non-dominated solution set using DPPs and evaluated solutions in the subset with the real objective functions, and then selected another subset from the set of all solutions evaluated by the real objective functions to update the surrogate models. Additionally, this paper proposed an environmental selection method based on adaptive DPPs. The method focused on improving the convergence of the population in the early stages of the evolutionary process and on enhancing the diversity of the population in the later stages. Finally, this paper verified the effectiveness of the proposed algorithm on DTLZ, WFG, and MAF test problems. This paper compared the proposed algorithm with commonly used algorithms such as K-RVEA, KTA2, and CSEA using the IGD+ metric. The experimental results show that the proposed algorithm can obtain a better solution set, thereby demonstrating its effectiveness in solving expensive multi-objective optimization problems.

Foundation Support

国家自然科学基金面上项目(61573328)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0037
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-21] Accepted Paper

Cite This Article

吴子聪, 李金龙. 一种基于行列式点过程的代理模型辅助多目标进化算法 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0037. (Wu Zicong, Li Jinlong. Surrogate-assisted multi-objective evolutionary algorithm based on determinantal point processes [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0037. )

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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