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 editorsGreiner, David; Periaux, Jacques; Emperador, J. M.; Galván, B.; Winter, G.

Parent publicationAdvances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Parent publication editorsMinisci, Edmondo; Vasile, Massimiliano; Periaux, Jacques; Gauger, Nicolas R.; Giannakoglou, Kyriakos C.; Quagliarella, Domenico

ISBN978-3-319-89986-2

Journal or seriesComputational Methods in Applied Sciences

ISSN1871-3033

Publication year2019

Number in series48

Pages range283-301

Number of pages in the book566

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-319-89988-6_17

Publication open accessNot open

Publication channel open access


Keywordsevolutionary computationgame theory


Contributing organizations


Ministry reportingYes

Reporting Year2019

JUFO rating0


Last updated on 2023-18-12 at 13:48