Optimal design with probabilistic objective and constraints
By Johannes O. Royset, A. Der Kiureghian, Elijah Polak. 2006
64 citations recorded by the source corpus.
Subfields: Building and Construction, Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5bff8b5c9334796de05c3c2e458976cca20e0c9b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Civil and Structural Engineering
- Marcos A. Valdebenito
- Gerhart I. Schuëller
- Tam H. Nguyen
- Glaucio H. Paulino
- Junho Song
- Elijah Polak
- Johannes O. Royset
- Ramana V. Grandhi
In Statistics and Probability
- Marcos A. Valdebenito
- Gerhart I. Schuëller
- Tam H. Nguyen
- Glaucio H. Paulino
- Elijah Polak
- Johannes O. Royset
- Junho Song
- Abebe Geletu
Citations in the corpus
- A survey on approaches for reliability-based optimization (2010, background): “In subsequent contributions, the semi-infinite approximation of the RBO problem was extended to cover the case of minimization of an expected cost function ( Royset et al. 2001b, 2006 ).”
- Single-loop system reliability-based topology optimization considering statistical dependence between limit-states (2011, methodology): “For example, Royset et al. (2006) employed the first-order approximation for failure probability and then used higher-order reliability approximations or Monte Carlo simulations to adjust parameters to improve the accuracy of system reliability-based design optimization.”
- Extensions of Stochastic Optimization Results to Problems with System Failure Probability Functions (2007, methodology): “In comparison, the design obtained in [12] has a somewhat larger cost of 13.”
- A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties (2015, background): “…finance and economics (Charnes and Cooper 1959; Rockafellar and Uryasev 2000; Wozabal 2012; Wozabal, Hochreiter, and Pflug 2010); reliability based design optimization (Royset, Kiureghian, and Polak 2006, and references therein); robotic systems (Blackmore et al. 2010), to mention only a very few.”