A1 Journal article (refereed)
A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization (2018)


Chugh, T., Jin, Y., Miettinen, K., Hakanen, J., & Sindhya, K. (2018). A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 22(1), 129-142. https://doi.org/10.1109/TEVC.2016.2622301


JYU authors or editors


Publication details

All authors or editorsChugh, Tinkle; Jin, Yaochu; Miettinen, Kaisa; Hakanen, Jussi; Sindhya, Karthik

Journal or seriesIEEE Transactions on Evolutionary Computation

ISSN1089-778X

eISSN1941-0026

Publication year2018

Volume22

Issue number1

Pages range129-142

PublisherInstitute of Electrical and Electronics Engineers

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1109/TEVC.2016.2622301

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/57019


Keywordsmulti-objective optimisationvectors (mathematical concepts)algorithmsPareto efficiencyBayesian analysisdecision makingmachine learning

Free keywordsmultiobjective optimization; reference vectors; surrogate-assisted evolutionary algorithms; model management; Kriging; computational cost; Pareto optimality; Bayesian optimization


Contributing organizations


Ministry reportingYes

Reporting Year2018

JUFO rating3


Last updated on 2024-08-01 at 19:57