'American Institute of Aeronautics and Astronautics (AIAA)'
Doi
Abstract
While Multidisciplinay Design Optimization (MDO) literature focuses mainly on the development of different formulations, through the manipulation of design variables, less
attention is generally devoted to the combination of specific MDO formulations with existing nonlinear optimization algorithms.
In this paper, the focus is on the application of a Global Optimization (GO) algorithm
to an MDO problem. We first introduce and describe some MDO approaches from the
literature. Then, we consider our MDO formulation where we deal with the GO box-constrained problem
min_{a R
We assume that the solution of the latter problem requires the use of a derivative-free methods since the derivatives of f(x) are unavailable and/or the function must be treated
as a `black-box'. Within this framework we study some globally convergent modifications of
the evolutionary Particle Swarm Optimization (PSO) algorithm, suitably adapted for box-constrained optimization. Finally, we report our numerical experience. Preliminary results
are provided for a simple hydroelastic problem. Two different numerical tools are involved:
a fluid dynamic solver, to simulate the
ow around hydrofoils traveling in proximity of the
air-water interface, and a simplified torsion-flexional wing model
