Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators
Work
Year: 2020
Type: article
Source: Information Sciences
Institutions Institute of Geodesy and Geophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Cites: 50
Cited by: 84
Related to: 10
FWCI: 8.029
Citation percentile (by year/subfield): 100
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Key Research and Development Program of China
Grant IDS 41621091, 41774017, 2016YFB0501900