Concept Selection Using s-Pareto Frontiers

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Studies on a biobjective robust design optimization problem (2009, methodology): “When an optimizing function is of a higher order than second, it is known that obtaining non-dominated solutions is usually unlikely (see, Tind and Wiecek (1999), Messac et al. (2000) and Mattson and Messac (2003)).”
Smart Pareto filter: obtaining a minimal representation of multiobjective design space (2004, background): “This section provides a brief description of the normal constraint method; the interested reader may refer to Messac and Mattson [11] for a more detailed presentation.”
Simultaneous Optimization of Mean and Standard Deviation (2010, background): “Publications addressing this and other limitations of weighted-sum linear and quadratic objective functions include Koski (1985), Athan and Papalambros (1996), Das and Dennis (1997), and Mattson and Messac (2003).”
Review of Metamodeling Techniques in Support of Engineering Design Optimization (2007, unknown): “Visualization methods for multidimensional data sets and identifying Pareto Frontiers for multiobjective optimization problems are also recently developed [94-97].”
Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms (2011, methodology): “Mattson and Messac [61] use Pareto frontiers for multi-objectives optimization, as do also Caldas [20,21].”