A method for reliability-based optimization with multiple non-normal stochastic parameters: a simplified airshed management study

• Published in: Stochastic environmental research and risk assessment Vol. 24; no. 1; pp. 101 - 116
• Main Authors: Chan, Kuei-Yuan, Papalambros, Panos Y., Skerlos, Steve J.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.01.2010; Springer Nature B.V
• Subjects: Aquatic Pollution; Chemistry and Earth Sciences; Computational Intelligence; Computer Science; Decision making; Earth and Environmental Science; Earth Sciences; Environment; Environmental policy; Environmental regulations; Highways; Math. Appl. in Environmental Science; Optimization; Original Paper; Physics; Probability Theory and Stochastic Processes; Research methodology; Statistics for Engineering; Stochastic models; Waste Water Technology; Water Management; Water Pollution Control; Non-normal uncertainty; Joint constraint reliability; Environmental policy decisions under uncertainty; Reliability-based design optimization (RBDO)

We develop methodologies to enable applications of reliability-based design optimization (RBDO) to environmental policy setting problems. RBDO considers uncertainty as random variables and parameters in an optimization framework with probabilistic constraints. Three challenges in environmental decis...