Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54376
Título: Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator
Autores/as: Greiner, David 
Emperador, José María 
Winter, Gabriel 
Clasificación UNESCO: 1206 Análisis numérico
Palabras clave: Evolutionary algorithms
Structural optimization
Multiobjective optimization
Frames
Rebirth
Fecha de publicación: 2004
Editor/a: 0045-7825
Publicación seriada: Computer Methods in Applied Mechanics and Engineering 
Resumen: The constrained minimum-mass problem of middle-size frames is taken into account, for both continuous and discrete cases with ideal (without buckling effect and own gravitational load) and real (with both) models, comparing three strategies of evolutionary algorithms. Some proposals to obtain appropriate results in middle-sized frames are exposed: optimization considerations about coding and structure; and the introduction of the auto-adaptive rebirth operator. Moreover, the introduction in the initial population of high quality single-optimization solutions obtained via the auto-adaptive rebirth operator is proposed as a way to improve the final non-dominated fronts obtained in structural frame multicriteria optimization (number of different cross-section types as second criteria). The results through three test cases (55–35 bar-sized) show the advantageous use of the auto-adaptive rebirth operator in frame optimization.
URI: http://hdl.handle.net/10553/54376
ISSN: 0045-7825
DOI: 10.1016/j.cma.2004.02.001
Fuente: Computer Methods in Applied Mechanics and Engineering [ISSN 0045-7825], v. 193, p. 3711-3743
Colección:Artículos
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