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Post SAROD Workshop-2005 The state of the art in Collaborative Design Mohamed Masmoudi y Didier Auroux z Yogesh Parte Abstract The goal of this paper is to present and discuss main contributions in MultiDisciplinary Optimiza- tion (MDO) or collaborative design. The goal of MDO is to dene a methodology for disciplines interaction with the aim of solving a global design problem. In MDO, most of the authors consider two types of parameters, public (shared by disciplines) parameters, and private ones. In this paper, we rst focus our interest on the denition, creation and use of public parameters. We give then an overview of most classical MDO approaches. Finally, we present another way to deal with MDO problems, based on game theory. Various examples are given in the following. Key Words: Multidisciplinary optimization, collaborative design, game theory. 1 Introduction The goal of this paper is to present and discuss most signicant contributions in Multi-Disciplinary Optimization (MDO). The name multidisciplinary optimization is often taken literally. We prefer to call it collaborative de- sign. Indeed, the optimization tool is only one part which cannot be separated from the total design pro- cess. Moreover, the goal is not to create an automatic design process based on optimization algorithms but to allow easy interaction between teams from dier- ent disciplines.

collaborative design

point after

perturbation

can only work

most classical

mesh

between dierent

parameters

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Publié par

pefav

Langue

English

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