WIT Press


Structural Shape Optimization Using Genetic Algorithms

Price

Free (open access)

Paper DOI

10.2495/BE970391

Volume

19

Pages

10

Published

1997

Size

989 kb

Author(s)

W. Annicchiarico & M. Cerrolaza

Abstract

During the last years more and more research efforts have done for shape optimization due to its relevance in structural design. This method changes the boundary shape of the structure to find the optimal design by verifying the prescribed constraints. The conventional approach is usually to replace the original implicit design problem by solving a sequence of explicit subproblems, each one constructed by using local approximation concepts involving function values an derivatives at the current design point. This is done because the objective function and constraints depend implicitly upon design variables. The aim of this paper is to present a different approach to solve the optimization problem by using evolut

Keywords