Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54259
Título: Optimising frame structures by different strategies of genetic algorithms
Autores/as: Greiner, D. 
Winter, G. 
Emperador, J. M. 
Clasificación UNESCO: 1206 Análisis numérico
Fecha de publicación: 2001
Editor/a: 0168-874X
Publicación seriada: Finite Elements in Analysis and Design 
Resumen: Two frame structure optimisation problems are handled. Firstly, the constrained minimum-mass problem, for which both continuous and discrete cases with ideal (without buckling effect and its own gravitational load) and real (with buckling effect and its own gravitational load) models are solved with several types of genetic algorithms. Results for the continuous case (ideal model) are compared with referenced solutions of traditional optimisation methods. From state of the art, the chosen strategies include a generational genetic algorithm, a steady-state genetic algorithm and the CHC algorithm. Moreover, we suggest one elitist strategy linked to the non-dominated sorting genetic algorithm (NSGA) to solve the multiobjective problem of minimising simultaneously the number of different cross-section types and the mass with several constraints. (C) 2001 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/10553/54259
ISSN: 0168-874X
DOI: 10.1016/S0168-874X(00)00054-8
Fuente: Finite Elements in Analysis and Design[ISSN 0168-874X],v. 37, p. 381-402
Colección:Artículos
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