A3 Book section, Chapters in research books
Efficient Parallel Nash Genetic Algorithm for Solving Inverse Problems in Structural Engineering (2016)


Periaux, J., & Greiner, D. (2016). Efficient Parallel Nash Genetic Algorithm for Solving Inverse Problems in Structural Engineering. In P. Neittaanmäki, S. Repin, & T. Tuovinen (Eds.), Mathematical Modeling and Optimization of Complex Structures (pp. 205-228). Springer International Publishing. Computational Methods in Applied Sciences, 40. https://doi.org/10.1007/978-3-319-23564-6_13


JYU authors or editors


Publication details

All authors or editors: Periaux, Jacques; Greiner, David

Parent publication: Mathematical Modeling and Optimization of Complex Structures

Parent publication editors: Neittaanmäki, Pekka; Repin, Sergey; Tuovinen, Tero

ISBN: 978-3-319-23563-9

Journal or series: Computational Methods in Applied Sciences

ISSN: 1871-3033

Publication year: 2016

Number in series: 40

Pages range: 205-228

Article number: 13

Number of pages in the book: 328

Publisher: Springer International Publishing

Place of Publication: Dordrecht

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-23564-6_13

Publication open access: Not open

Publication channel open access:

Additional information: International Conference for Mathematical Modeling and Optimization in Mechanics, MMOM 2014; Jyvaskyla; Finland; 6 March 2014 through 7 March 2014.


Keywords: inverse problems

Free keywords: parallel genetic algorithms; Nash games; structural optimization; finite element analysis; bar structures


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2016

JUFO rating: 0


Last updated on 2021-08-06 at 20:07