Robust optimization considering tolerances of design variables

By Kwon-Hee Lee, G. Park. 2001

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A robust design method using variable transformation and Gauss–Hermite integration (2006, unknown): “With the weighting factor method, a robust design problem is modelled as a single objective optimization problem [4, 9, 10] given by”
Robust design of non-linear structures using optimization methods (2005, background): “Lee and Park [10] have stated robust design as a revised deterministic optimization problem, in which the weighting factor is introduced to define a compound multi-objective function and the penalty factor is introduced to account for the variation in the constraints observing the tolerance bands of”
Structural optimization of non-linear systems under stochastic excitation (2006, unknown): “optimization, fuzzy optimization, six-sigma based probabilistic design optimization, etc. [20,7,11,9, 13 ,12,1].”
Robust design with arbitrary distributions using Gauss-type quadrature formula (2009, background): “Phadke 1995), many approaches to robust design have been reported in literature (Parkinson et al. 1993; Sundaresan et al. 1995; Chen et al. 1996; Ramakrishnan and Rao 1996; Du and Chen 2000; Lee and Park 2001; Jung and Lee 2002; Messac and Yahaya 2002; Han and Kwak 2004; Huang and Du 2007; Choi et a”
Robustness-based design optimization under data uncertainty (2011, background): “[24] Lee, K-H, and Park, G-J, Robust optimization considering tolerances of design variables, Computers and Structures 79 (2001) 77-86.”