ERG-DE: An elites regeneration framework for differential evolution
Work
Year: 2020
Type: article
Source: Information Sciences
Institutions Harbin Institute of Technology, Dublin City University
Cites: 38
Cited by: 19
Related to: 10
FWCI: 1.536
Citation percentile (by year/subfield): 89.07
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: closed