A Broyden-Fletcher-Goldfarb-Shanno algorithm for reliability-based design optimization
DOI10.1016/j.apm.2020.11.012zbMath1481.90335OpenAlexW3107956578MaRDI QIDQ823309
Publication date: 24 September 2021
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2020.11.012
reliability-based design optimizationBroyden-Fletcher-Goldfarb-Shanno algorithmmean value methodminimum performance target pointperformance measure approach
Applications of mathematical programming (90C90) Methods of quasi-Newton type (90C53) Reliability, availability, maintenance, inspection in operations research (90B25) Compliance or weight optimization in solid mechanics (74P05) Methods of successive quadratic programming type (90C55)
Cites Work
- Unnamed Item
- Benchmark study of numerical methods for reliability-based design optimization
- Nonmonotone globalization techniques for the Barzilai-Borwein gradient method
- A hybrid descent mean value for accurate and efficient performance measure approach of reliability-based design optimization
- A hybrid self-adjusted mean value method for reliability-based design optimization using sufficient descent condition
- A new direct second-order reliability analysis method
- Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization
- HLRF-BFGS optimization algorithm for structural reliability
- Continuous nonlinear optimization for engineering applications in GAMS technology
- Second-order reliability method-based inverse reliability analysis using Hessian update for accurate and efficient reliability-based design optimization
- An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization
- Sensitivity analyses of FORM-based and DRM-based performance measure approach (PMA) for reliability-based design optimization (RBDO)
This page was built for publication: A Broyden-Fletcher-Goldfarb-Shanno algorithm for reliability-based design optimization