A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
Work
Year: 2016
Type: article
Source: Computers & Operations Research
Institution National University of Defense Technology
Cites: 66
Cited by: 70
Related to: 10
FWCI: 20.03
Citation percentile (by year/subfield): 100
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Specialized Research Fund for the Doctoral Program of Higher Education of China
Grant IDS 61403404, 71401167, 71201170, 13JJ4010, 20124307120024