WIT Press

Efficient Second Order Optimization Technique For Structural Optimization

Price

Free (open access)

Paper DOI

10.2495/OP970181

Volume

31

Pages

9

Published

1997

Size

664 kb

Copyright

WIT Press

Author(s)

M. El-Sayed, S. Anderson and K. Zumwalt

Abstract

Constrained optimization methods classically fall into the categories of zero- or first-order algorithms. In this paper, a second order constrained optimization method, sequential quadratic programming with quadratic constraints (SQPQC), is developed. This method uses first- and second-order derivative information to build a second-order Taylor's series expansion to the constrained optimization problem. By using duality, the resulting subproblem, to find the search direction, is transformed into an unconstrained optimization problem with respect to the dual variables. Comparisons with robust feasible directions (RFD), for a curved plate shape optimization test case, is presented. 1. Introduction Many numerical methods exist to solve all the classes of the

Keywords