A3 Book section, Chapters in research books
A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms : Enhancing Performances in Reconstruction Problems in Structural Engineering (2019)
Greiner, D., Periaux, J., Emperador, J. M., Galván, B., & Winter, G. (2019). A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms : Enhancing Performances in Reconstruction Problems in Structural Engineering. 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. 283-301). Springer. Computational Methods in Applied Sciences, 48. https://doi.org/10.1007/978-3-319-89988-6_17
JYU authors or editors
Publication details
All authors or editors: Greiner, David; Periaux, Jacques; Emperador, J. M.; Galván, B.; Winter, G.
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: 283-301
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_17
Publication open access: Not open
Publication channel open access:
Keywords: evolutionary computation; game theory
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 0