Computational Approaches for Aerospace Design: The Pursuit of Excellence

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Recent advances in surrogate-based optimization (2009, background): “λ should, ideally, be set to the variance of the noise in the response data y [46], but since we usually do not know that, we are left with the option of simply adding it to the list of parameters that need to be estimated.”
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems (2015, neutral): “In contrast, an optimization search takes a targeted path through the parameter space; thus, a reduced model built for optimization requires a balance between exploration and exploitation of the design space [139].”
Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal (2012, background): “Intuition and empirical evidence (Mitchell et al., 1994; McIlhagga et al., 1996a,b; Keane and Nair, 2005; De Jong, 2006; Harman and McMinn, 2007), suggest that selectionist, population based search (even without crossover) will often outperform hill-climbing in multimodal spaces (those with…”