BEPO: A novel binary emperor penguin optimizer for automatic feature selection

标题
BEPO: A novel binary emperor penguin optimizer for automatic feature selection
作者
关键词
Emperor penguin optimizer, Feature selection, Discrete optimization, Bio-inspired algorithm
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 211, Issue -, Pages 106560
出版商
Elsevier BV
发表日期
2020-11-02
DOI
10.1016/j.knosys.2020.106560

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started