Paper Info
Title
A Kriging-assisted multiobjective evolutionary algorithm.
Abstract
•Previous paper presented the GeDEA-II.•A great step forward is here presented which we called GeDEA-II-K.•It features a novel hybrid architecture supported by Kriging.•Comparison is given among GeDEA-II-K and other modern on different extremely multidimensional test problems.•Performance of GeDEA-II-K on test cases is shown.
Year
DOI
Venue
2017
10.1016/j.asoc.2017.04.017
Applied Soft Computing
Keywords
Field
DocType
Soft-computing,Evolutionary computation,Multiobjective optimization,Surrogates,Metamodels,Kriging
Kriging,Mathematical optimization,Evolutionary algorithm,Evolutionary computation,Multi-objective optimization,Multiobjective optimization problem,Artificial intelligence,Soft computing,Evolutionary programming,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
58
1568-4946
4
PageRank 
References 
Authors
0.45
13
3
Name
Order
Citations
PageRank
Giovanni Venturelli140.79
Ernesto Benini2915.80
łukasz łaniewskiwollk3122.06