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A Filter-Based Sample Average SQP for Optimization Problems With Highly Nonlinear Probabilistic Constraints
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, we develop a filter-based sequential quadratic programming (SQP) algorithm for solving reliability-based design optimization (RBDO) problems with highly nonlinear constraints. The ...
A Modified Efficient Global Optimization Algorithm for Maximal Reliability in a Probabilistic Constrained Space
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Design optimization problems under random uncertainties are commonly formulated with constraints in probabilistic forms. This formulation, also referred to as reliability-based design optimization ...
Modified Reduced Gradient With Realization Sorting for Hard Equality Constraints in Reliability-Based Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, the presence of equality constraints in reliability-based design optimization (RBDO) problems is studied. Relaxation of soft equality constraints in RBDO and its challenges are ...
Monotonicity and Active Set Strategies in Probabilistic Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Probabilistic design optimization addresses the presence of uncertainty in design problems. Extensive studies on reliability-based design optimization, i.e., problems with random variables and ...
An Adaptive Sequential Linear Programming Algorithm for Optimal Design Problems With Probabilistic Constraints
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Optimal design problems with probabilistic constraints, often referred to as reliability-based design optimization problems, have been the subject of extensive recent studies. Solution methods to ...
β-Pareto Set Prediction for Bi-Objective Reliability-Based Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this research, we investigate design optimization under uncertainties for problems with two objectives. Reliability-based design optimization (RBDO) that considers uncertainties as random variables ...