Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54584
Título: Introducing reference point using g-dominance in optimum design considering uncertainties: An application in structural engineering
Autores/as: Greiner, David 
Galván, Blas 
Emperador, José M. 
Méndez, Máximo 
Winter, Gabriel 
Clasificación UNESCO: 1206 Análisis numérico
Palabras clave: Optimization
Fecha de publicación: 2011
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 6th International Conference on Evolutionary Multi-Criterion Optimization 
6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011 
Resumen: Considering uncertainties in engineering optimum design is often a requirement. Here, the use of the deterministic optimum design as the reference point in g-dominance is proposed. The multiobjective optimum robust design in a structural engineering test case where uncertainties in the external loads are taken into account is proposed as application, where the simultaneous minimization of the constrained weight average and the standard deviation of the constraints violation are the objective functions. Results include a comparison between both non-dominated sorting genetic algorithm II (NSGA-II) and strength Pareto evolutionary algorithm (SPEA2), including S-metric (hypervolume) statistical comparisons with and without the g-dominance approach. The methodology is capable to provide robust optimum structural frame designs successfully.
URI: http://hdl.handle.net/10553/54584
ISBN: 9783642198922
ISSN: 0302-9743
DOI: 10.1007/978-3-642-19893-9_27
Fuente: Takahashi R.H.C., Deb K., Wanner E.F., Greco S. (eds) Evolutionary Multi-Criterion Optimization. EMO 2011. Lecture Notes in Computer Science, vol 6576. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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