Particle Swarm Optimization Algorithm for Feature Selection Inspired by Peak Ecosystem Dynamics
In recent years, particle swarm optimization (PSO) has received widespread attention in feature selection due to its simplicity and potential for global search. However, in traditional PSO, particles primarily update based on... | Find, read and cite all the research you need on Tech Science Press
Authors
- Sujie Guan (ORCID: https://orcid.org/0000-0002-9841-3393)
- Shuaikun Zhang
- Min Li (ORCID: https://orcid.org/0000-0002-3009-279X)
- Shaobo Deng
- Bo Wang (ORCID: https://orcid.org/0000-0002-5042-0877)
- Meiru Xie
Institutions
- Jiangxi University of Water Resources and Electric Power (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-13
- DOI
- https://doi.org/10.32604/cmc.2024.057874
- Citations
- 2
- Primary Topic
- Environmental Changes in China
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Nanchang Institute of Technology