Loading...
Loading...

Go to the content (press return)

Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper

Author
Pons-Prats, J.; Coma, M.; Bertran, J.; Roca, X.; Bugeda, G.
Type of activity
Book chapter
Book
Evolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems
First page
419
Last page
436
Publisher
Springer
Date of publication
2019
ISBN
978-3-319-89889-6 Open in new window
DOI
https://doi.org/10.1007/978-3-319-89890-2 Open in new window
Repository
http://hdl.handle.net/2117/122820 Open in new window
URL
https://www.springer.com/us/book/9783319898896 Open in new window
Abstract
This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and en...
Citation
Pons, J., Coma, M., Bertran, J., Roca, X., Bugeda, G. Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper. A: "Evolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems". Berlín: Springer, 2019, p. 419-436.
Keywords
Genetic algorithms
Group of research
(MC)2 - UPC Computational continuum mechanics
RMEE - Strength of Materials and Structural Engineering Research Group

Participants