article · 2025

A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism

Cited by 0Abstract and details only

Abstract

Constrained multi-objective optimization problems are common in various real-world applications, and the dual-population framework is preferred for its excellent performance in addressing such issues. In the dual-population algorithms, if the connection between the two populations is too tight, it is not conducive to the iteration of the population; On the contrary, the advantages of the dual-population mechanism cannot be fully developed. This paper proposes a dual-population constrained multi-objective evolutionary algorithm based on a dynamic contact mechanism (DPDC) to address these limitations. The DPDC algorithm introduces a variable (ncse) to regulate the number of individuals from the auxiliary population in the offspring. Initially, the populations exhibit a strong degree of interaction. The auxiliary population promotes the movement of the main population toward the Pareto front, thereby enhancing the convergence of the main population. In later stages, the offspring includes fewer individuals from the auxiliary population. Consequently, the distribution of the main population gradually improves. This mechanism effectively balances convergence and diversity. To prove the algorithm's effectiveness, it is tested on the benchmark test problem set DASCMOP, and the test results verify that the DPDC algorithm proposed in this paper outperforms five advanced constrained multi-objective evolutionary algorithms.

Cite this paper

APA 7

Lin, C.-C., Li, Y., & Yang, Y. (2025). A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism. https://doi.org/10.1109/ccdc65474.2025.11090939

MLA 9

Lin, Chih-Chang, et al. “A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism.” 2025, pp. 514–19, https://doi.org/10.1109/ccdc65474.2025.11090939.

Chicago

Lin, Chih-Chang, Yuxuan Li, and Y. Yang. 2025. “A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism.” https://doi.org/10.1109/ccdc65474.2025.11090939.

Harvard

Lin, C.-C., Li, Y. and Yang, Y. (2025) ‘A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism’. Available at: https://doi.org/10.1109/ccdc65474.2025.11090939.

BibTeX

@article{lin2025dual,
  title = {{A Dual-Population Constrained Multi-Objective Evolutionary Algorithm Based on Dynamic Contact Mechanism}},
  author = {Lin, Chih-Chang and Li, Yuxuan and Yang, Y.},
  pages = {514--519},
  year = {2025},
  doi = {10.1109/ccdc65474.2025.11090939}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.