Author(s)

E. Sandgren

Abstract

A multiple objective, goal programming formulation is coupled to a hybrid genetic optimization - nonlinear programming algorithm and applied to the design of structures. The combination provides a unique design environment which can generate solutions not attainable by a traditional approach to structural optimization. Crossectional, geometric and topological change are considered in the formulation. Design goals include weight, cost and robust character. Both hard and soft constraints are included. The genetic optimizer controls the topology of the structure, while a gradient based, nonlinear programming method refines the local geometry and crossectional properties. A specific example involving a ten bar truss is presented which highlights the benefit of the approach over previously reported results. 1 Introduction Eve

Keywords