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 editors: Chugh, Tinkle; Jin, Yaochu; Miettinen, Kaisa; Hakanen, Jussi; Sindhya, Karthik

Journal or series: IEEE Transactions on Evolutionary Computation

ISSN: 1089-778X

eISSN: 1941-0026

Publication year: 2018

Volume: 22

Issue number: 1

Pages range: 129-142

Publisher: Institute of Electrical and Electronics Engineers

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TEVC.2016.2622301

Publication open access: Not open

Publication channel open access: 

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

Keywords: multi-objective optimisation; vectors (mathematical concepts); algorithms; Pareto efficiency; Bayesian analysis; decision making; machine learning

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

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2018

JUFO rating: 3