Paper Info
Title
Evolutionary Multiobjective Optimization Based On Gaussian Process Modeling
Abstract
This paper presents a summary of the doctoral dissertation of the author, which addresses the task of evolutionary multiobjective optimization using surrogate models.
Year
Venue
Keywords
2015
INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS
multiobjective optimization, evolutionary algorithms, surrogate models, relations under uncertainty
Field
DocType
Volume
Mathematical optimization,Evolutionary algorithm,Computer science,Multi-objective optimization,Gaussian process,Artificial intelligence,Optimization problem,Machine learning
Journal
39
Issue
ISSN
Citations 
4
0350-5596
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Miha Mlakar1203.30