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. doi: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

Publication year: 2019

Volume: 23

Issue number: 9

Pages range: 3137-3166

Publisher: Springer

Publication country: Germany

Publication language: English

DOI: http://doi.org/10.1007/s00500-017-2965-0

Open Access: Publication channel is not openly available

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


Last updated on 2020-18-10 at 18:06