An Adaptive Sequential Linear Programming Algorithm for Optimal Design Problems With Probabilistic Constraints

@inproceedings{Chan2007AnAS,
  title={An Adaptive Sequential Linear Programming Algorithm for Optimal Design Problems With Probabilistic Constraints},
  author={Kuei-Yuan Chan and Steven J. Skerlos and Panos Y. Papalambros},
  year={2007}
}
Optimal design problems with probabilistic constraints, often referred to as reliabilitybased design optimization problems, have been the subject of extensive recent studies. Solution methods to date have focused more on improving efficiency rather than accuracy and the global convergence behavior of the solution. A new strategy utilizing an adaptive sequential linear programming (SLP) algorithm is proposed as a promising approach to balance accuracy, efficiency, and convergence. The strategy… CONTINUE READING