A parallel evolution strategy for solving discrete structural optimization
Advances in Engineering Software
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Reliability-based structural optimization using improved two-point adaptive nonlinear approximations
Finite Elements in Analysis and Design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Reliability-based design optimization for elastoplastic mechanical structures
Computers and Structures
Engineering computation under uncertainty - Capabilities of non-traditional models
Computers and Structures
Designing robust structures - A nonlinear simulation based approach
Computers and Structures
Reliability-based design sensitivity by efficient simulation
Computers and Structures
Design and sensitivity analysis of dynamical systems subjected to stochastic loading
Computers and Structures
Efficient strategies for reliability-based optimization involving non-linear, dynamical structures
Computers and Structures
Advances in Engineering Software
Efficient design of experiments for structural optimization using significance screening
Structural and Multidisciplinary Optimization
Sequential sampling for contour estimation with concurrent function evaluations
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization
A random sampling approach to worst-case design of structures
Structural and Multidisciplinary Optimization
An adaptive decoupling approach for reliability-based design optimization
Computers and Structures
Robust topology optimisation of bi-modulus structures
Computer-Aided Design
An optimal shifting vector approach for efficient probabilistic design
Structural and Multidisciplinary Optimization
Global structural optimization considering expected consequences of failure and using ANN surrogates
Computers and Structures
Non-parametric stochastic subset optimization for optimal-reliability design problems
Computers and Structures
Optimization under worst case constraints--a new global multimodel search procedure
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization
A local adaptive sampling method for reliability-based design optimization using Kriging model
Structural and Multidisciplinary Optimization
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Reliability-based Optimization is a most appropriate and advantageous methodology for structural design. Its main feature is that it allows determining the best design solution (with respect to prescribed criteria) while explicitly considering the unavoidable effects of uncertainty. In general, the application of this methodology is numerically involved, as it implies the simultaneous solution of an optimization problem and also the use of specialized algorithms for quantifying the effects of uncertainties. In view of this fact, several approaches have been developed in the literature for applying this methodology in problems of practical interest. This contribution provides a survey on approaches for performing Reliability-based Optimization, with emphasis on the theoretical foundations and the main assumptions involved. Early approaches as well as the most recently developed methods are covered. In addition, a qualitative comparison is performed in order to provide some general guidelines on the range of applicability on the different approaches discussed in this contribution.