A2 Review article, Literature review, Systematic review
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms (2019)
Chugh, T., Sindhya, K., Hakanen, J., & Miettinen, K. (2019). A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms. Soft Computing, 23(9), 3137-3166. https://doi.org/10.1007/s00500-017-2965-0
JYU authors or editors
Publication details
All authors or editors: Chugh, Tinkle; Sindhya, Karthik; Hakanen, Jussi; Miettinen, Kaisa
Journal or series: Soft Computing
ISSN: 1432-7643
eISSN: 1433-7479
Publication year: 2019
Volume: 23
Issue number: 9
Pages range: 3137-3166
Publisher: Springer
Publication country: Germany
Publication language: English
DOI: https://doi.org/10.1007/s00500-017-2965-0
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/63792
Keywords: multi-objective optimisation; Pareto efficiency; machine learning
Free keywords: surrogate; metamodel; multicriteria optimization; computational cost; response surface approximation; pareto optimality
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 1