Towards Augmented Design-Space Exploration via Combined Geometry and Physics Based Karhunen-Loève Expansion

[1]  Andrea Serani,et al.  Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems , 2016, Appl. Soft Comput..

[2]  Stefano Lucidi,et al.  Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms , 2016 .

[3]  Andrea Serani,et al.  Design-space dimensionality reduction for single-and multi-disciplinary shape optimization , 2016 .

[4]  X. Chen,et al.  High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm , 2015 .

[5]  Juan J. Alonso,et al.  Active Subspaces for Shape Optimization , 2014 .

[6]  Piotr Breitkopf,et al.  Towards a space reduction approach for efficient structural shape optimization , 2013 .

[7]  P. Villon,et al.  Towards simultaneous reduction of both input and output spaces for interactive simulation-based structural design , 2013 .

[8]  Claudia Schillings,et al.  Efficient shape optimization for certain and uncertain aerodynamic design , 2011 .

[9]  Alfio Borzì,et al.  On the treatment of distributed uncertainties in PDE‐constrained optimization , 2010 .

[10]  M. Irvine,et al.  Pitch and Heave Tests and Uncertainty Assessment for a Surface Combatant in Regular Head Waves , 2008 .

[11]  M. Diez,et al.  Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion , 2015 .

[12]  A. Huerta,et al.  Parametric solutions involving geometry: A step towards efficient shape optimization , 2014 .