Efficient parallel nash genetic algorithm for solving inverse problems in structural engineering

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
Colección:	Capítulo de libro

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