A3 Book section, Chapters in research books
Multi-disciplinary Design Optimization of Air-Breathing Hypersonic Vehicle Using Pareto Games and Evolutionary Algorithms (2019)
Wu, P., Tang, Z., & Periaux, J. (2019). Multi-disciplinary Design Optimization of Air-Breathing Hypersonic Vehicle Using Pareto Games and Evolutionary Algorithms. In E. Minisci, M. Vasile, J. Periaux, N. R. Gauger, K. C. Giannakoglou, & D. Quagliarella (Eds.), Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences (pp. 317-331). Cham: Springer. doi:10.1007/978-3-319-89988-6_19
JYU authors or editors
Publication details
All authors or editors: Wu, Peng; Tang, Zhili; Periaux, Jacques
Parent publication: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Parent publication editors: Minisci, Edmondo; Vasile, Massimiliano; Periaux, Jacques; Gauger, Nicolas R.; Giannakoglou, Kyriakos C.; Quagliarella, Domenico
ISBN: 978-3-319-89986-2
Journal or series: Computational Methods in Applied Sciences
ISSN: 1871-3033
Publication year: 2019
Number in series: 48
Pages range: 317-331
Number of pages in the book: 566
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-319-89988-6_19
Open Access: Publication channel is not openly available
Publication channel open access:
Publication open access:
Keywords: multi-objective optimisation; evolutionary computation; jet engines
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 0