Assessing a Response Surface-Based Optimization Approach for Soil Vapor Extraction System Design

By C. Fen, Chencha Chan, Hsien-Chie Cheng. 2009

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chen Wang
2. Wei Gong
3. Bryan Tolson
4. Saman Razavi
5. Qingyun Duan
6. Chiyuan Miao
7. Aizhong Ye
8. Zhenhua Di

Citations in the corpus

• An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “A variety of approximation techniques have been developed and applied as the surrogates of an original simulation model: polynomial regression (Fen et al., 2009), regression tree method (Tree) (Breiman et al., 1984), Random Forest (RF) method (Breiman, 2001), MARS (Friedman, 1991), Support Vector…”
• Numerical assessment of metamodelling strategies in computationally intensive optimization (2012, methodology): “…commonly used family of optimization algorithms in environmental and water resources (Nicklow et al., 2010) and are one of the most common benchmark algorithms applied in metamodelling studies (Broad et al., 2005; Fen et al., 2009; Khu et al., 2004; Ostfeld and Salomons, 2005; Zou et al., 2007).”
• Review of surrogate modeling in water resources (2012, methodology): “Examples of such techniques include: polynomials [Fen et al., 2009; Hussain et al., 2002; Myers and Montgomery, 2002; Wang, 2003], kriging, which is also sometimes referred to as design and analysis of computer experiment (DACE) in the surrogate modeling context [Sacks et al.”