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). Springer. Computational Methods in Applied Sciences, 48. https://doi.org/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

Publication open access: Not open

Publication channel open access:

Keywords: multi-objective optimisation; evolutionary computation; jet engines

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 0