Multidisciplinary Design Optimization: A Survey of Architectures

TLDR

Multidisciplinary design optimization applies numerical optimization techniques to engineering systems that involve multiple interacting disciplines or components. This paper surveys every architecture that has appeared in the literature to date. The authors present a unified description of each architecture—including problem statements, diagrams of data and process flow, detailed algorithms, and a classification by formulation and decomposition—along with cited applications. The survey offers a clear, accessible introduction for nonspecialists and a detailed reference for specialists.

Abstract

Multidisciplinary design optimization is a field of research that studies the application of numerical optimization techniques to the design of engineering systems involving multiple disciplines or components. Since the inception of multidisciplinary design optimization, various methods (architectures) have been developed and applied to solve multidisciplinary design-optimization problems. This paper provides a survey of all the architectures that have been presented in the literature so far. All architectures are explained in detail using a unified description that includes optimization problem statements, diagrams, and detailed algorithms. The diagrams show both data and process flow through the multidisciplinary system and computational elements, which facilitate the understanding of the various architectures, and how they relate to each other. A classification of the multidisciplinary design-optimization architectures based on their problem formulations and decomposition strategies is also provided, and the benefits and drawbacks of the architectures are discussed from both theoretical and experimental perspectives. For each architecture, several applications to the solution of engineering-design problems are cited. The result is a comprehensive but straightforward introduction to multidisciplinary design optimization for nonspecialists and a reference detailing all current multidisciplinary design-optimization architectures for specialists.