Improved snow geese algorithm for engineering applications and clustering optimization
Abstract The Snow Goose Algorithm (SGA) is a new meta-heuristic algorithm proposed in 2024, which has been proved to have good optimization effect, but there are still problems that are easy to fall into local optimal and premature convergence. In order to further improve the optimization performanc...
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Main Authors: | Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-88080-7 |
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