A3 Book section, Chapters in research books
Surrogate-Assisted Evolutionary Optimization of Large Problems (2020)

Chugh, T., Sun, C., Wang, H., & Jin, Y. (2020). Surrogate-Assisted Evolutionary Optimization of Large Problems. In T. Bartz-Beielstein, B. Filipič, P. Korošec, & E.-G. Talbi (Eds.), High-Performance Simulation-Based Optimization (pp. 165-187). Springer. Studies in Computational Intelligence, 833. https://doi.org/10.1007/978-3-030-18764-4_8

JYU authors or editors

Publication details

All authors or editors: Chugh, Tinkle; Sun, Chaoli; Wang, Handing; Jin, Yaochu

Parent publication: High-Performance Simulation-Based Optimization

Parent publication editors: Bartz-Beielstein, Thomas; Filipič, Bogdan; Korošec, Peter; Talbi, El-Ghazali

ISBN: 978-3-030-18763-7

Journal or series: Studies in Computational Intelligence

ISSN: 1860-949X

Publication year: 2020

Number in series: 833

Pages range: 165-187

Number of pages in the book: 291

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-18764-4_8

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/64715

Keywords: optimisation; mathematical optimisation; evolutionary computation

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 2