Improved snow geese algorithm for engineering applications and clustering optimization

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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Bibliographic Details
Main Authors: Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Snow geese algorithm
Meta-heuristic algorithm
Engineering and clustering optimization
Lead goose rotation mechanism
Honk-guiding mechanism
Outlier boundary
Online Access:https://doi.org/10.1038/s41598-025-88080-7
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https://doi.org/10.1038/s41598-025-88080-7

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