Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54811
Título: Efficient parallel nash genetic algorithm for solving inverse problems in structural engineering
Autores/as: Périaux, Jacques
Greiner, David 
Clasificación UNESCO: 12 Matemáticas
Palabras clave: Parallel genetic algorithms
Nash games
Structural optimization
Finite element analysis
Inverse problems, et al.
Fecha de publicación: 2016
Editor/a: Springer 
Publicación seriada: Computational Methods in Applied Sciences 
Conferencia: International Conference on Mathematical Modeling and Optimization in Mechanics (MMOM 2014) 
Resumen: A parallel implementation of a game-theory based Nash Genetic Algorithm (Nash-GAs) is presented in this paper for solving reconstruction inverse problems in structural engineering. We compare it with the standard panmictic genetic algorithm in a HPC environment with up to eight processors. The procedure performance is evaluated on a fifty-five bar sized test case of discrete real cross-section types structural frame. Numerical results obtained on this application show a significant achieved increase of performance using the parallel Nash-GAs approach compared to the standard GAs or Parallel GAs.
URI: http://hdl.handle.net/10553/54811
ISBN: 978-3-319-23563-9
ISSN: 1871-3033
DOI: 10.1007/978-3-319-23564-6_13
Fuente: Mathematical Modeling and Optimization of Complex Structures / Pekka Neittaanmäki, Sergey Repin, Tero Tuovinen (eds). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 40, p. 205-228
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