Structural Shape Optimization Using Genetic Algorithms
Price
Free (open access)
Transaction
Volume
19
Pages
10
Published
1997
Size
989 kb
Paper DOI
10.2495/BE970391
Copyright
WIT Press
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