Author(s)

Chyi-Yeu Lin & I-Ming Huang

Abstract

This paper presents a two-stage multimodal optimization algorithm and its application to structural optimizations. The first stage of the two-stage algorithm serves to identify local optimum candidates which are defined as the best sampled design in each valley containing a local optimum from a number of sampled designs by using topographical identification techniques. The second stage of the optimization algorithm involves a number of local searches using the local optimum candidates as initial designs. A unique crystal growth approach is proposed to perform systematic identification of the local optimum candidates. This topographical multimodal optimization algorithm is applied to one illustrative structural optimization problem an

Keywords