| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 404965 | Knowledge-Based Systems | 2015 | 8 Pages |
Abstract
This short communication presents a nature-inspired optimization algorithm, group search optimizer with intraspecific competition and lévy walk (GSOICLW). The mechanism of intraspecific competition (IC) and the searching strategy of lévy walk (LW) are incorporated to the original group search optimizer (GSO) algorithm. It has been proved that GSOICLW shows a significant improvement to GSO after its test against standard benchmark functions.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Y.Z. Li, Q.H. Wu, M.S. Li,