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Multidisciplinary Optimization of a Transport Aircraft Wing using Particle Swarm OptimizationThe purpose of this paper is to demonstrate the application of particle swarm optimization to a realistic multidisciplinary optimization test problem. The paper's new contributions to multidisciplinary optimization is the application of a new algorithm for dealing with the unique challenges associated with multidisciplinary optimization problems, and recommendations as to the utility of the algorithm in future multidisciplinary optimization applications. The selected example is a bi-level optimization problem that demonstrates severe numerical noise and has a combination of continuous and truly discrete design variables. The use of traditional gradient-based optimization algorithms is thus not practical. The numerical results presented indicate that the particle swarm optimization algorithm is able to reliably find the optimum design for the problem presented here. The algorithm is capable of dealing with the unique challenges posed by multidisciplinary optimization as well as the numerical noise and truly discrete variables present in the current example problem.
Document ID
20030017845
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Sobieszczanski-Sobieski, Jaroslaw
(NASA Langley Research Center Hampton, VA United States)
Venter, Gerhard
(Vanderplaats Research and Development, Inc. Colorado Springs, CO United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2002
Subject Category
Aircraft Design, Testing And Performance
Report/Patent Number
AIAA Paper 2002-5644
Meeting Information
Meeting: 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization
Location: Atlanta, GA
Country: United States
Start Date: September 4, 2002
End Date: September 6, 2002
Sponsors: American Inst. of Aeronautics and Astronautics, International Society for Structural and Multidisciplinary Optimization
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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