Multi-objective particle swarm algorithm based on angular segmentation archive and dynamic update tactics
Abstract In multi-objective particle swarm optimization, achieving a balance between solution convergence and diversity remains a crucial challenge. To cope with this difficulty, this paper proposes a novel multi-objective particle swarm algorithm, called ASDMOPSO, which aims to improve the optimiza...
Saved in:
| Main Authors: | Yi Luo, Yanmin Liu, Jianjie Chen, Jie Yang, Jiang Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-16539-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-objective particle swarm optimization algorithm for task allocation and archived guided mutation strategies
by: Jianjie Chen, et al.
Published: (2025-05-01) -
An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project
by: Jinyan Shao, et al.
Published: (2025-03-01) -
Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization
by: Xiang Bao, et al.
Published: (2025-04-01) -
A corrective direction particle swarm optimization for large-scale multi-objective optimization
by: Weichao Chen, et al.
Published: (2025-06-01) -
Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization
by: Sumet Mehta, et al.
Published: (2025-05-01)