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). Cham: Springer. doi: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: http://doi.org/10.1007/978-3-319-89988-6_17

Open Access: Publication channel is not openly available


Keywords: evolutionary computation; game theory


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 0


Last updated on 2020-18-10 at 19:26