Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
Work
Year: 2015
Type: article
Source: Annals of Operations Research
Institutions Fundación General, Center for Research and Advanced Studies of the National Polytechnic Institute, Universidad de La Laguna
Cites: 192
Cited by: 77
Related to: 10
FWCI: 5.676
Citation percentile (by year/subfield): 99.99
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Grant ID 14-IJ-DPP-Q182-11