An improved robust topology optimization approach using multiobjective evolutionary algorithms

•Our approach allows designers to make a-posteriori tradeoffs between objectives.•Our robustness measures are the expected compliance and the expected variance.•Sizing is directly incorporated into the problem formulation.•We analyzed different sources of variability (force and material properties)....

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Veröffentlicht in:	Computers & structures 2013-09, Vol.125, p.1-10
Hauptverfasser:	Garcia-Lopez, N.P., Sanchez-Silva, M., Medaglia, A.L., Chateauneuf, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrays Evolutionary algorithms Mathematical models MOEA Multiobjective evolutionary algorithms NSGA-II Optimization Pareto optimality Robust optimization Robustness Sizing optimization Topology optimization Variance
Online-Zugang:	Volltext
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