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