GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications
Abstract Particle Swarm Optimization (PSO) is a classic optimization algorithm; however, it has issues when solving high-dimensional complex optimization problems, such as sensitivity to initial parameters, insufficient population diversity, and susceptibility to becoming stuck in local optima. To t...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
|
| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01140-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|