An Enhanced Snow Geese Optimizer Integrating Multiple Strategies for Numerical Optimization
An enhanced snow geese algorithm (ESGA) is proposed to address the problems of the weakened population diversity and unbalanced search tendencies encountered by the snow geese algorithm (SGA) in the search process. First, an adaptive switching strategy is used to dynamically select the search strate...
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| Main Authors: | Baoqi Zhao, Yu Fang, Tianyi Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/10/6/388 |
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