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An Evolutionary Architecture for the Automated Conceptual Design of Aerospace Systems

Duffy, Michael and Chung, Soon-Jo and Bergman, Lawrence (2011) An Evolutionary Architecture for the Automated Conceptual Design of Aerospace Systems. In: AIAA Infotech at Aerospace Conference and Exhibit 2011. American Institute of Aeronautics and Astronautics , Reston. ISBN 9781617829741.

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Many different approaches to total system design and optimization have been atempted. The Genetic Learning Automated Design Optimization Software (GLADOS) presented here represent a flexible evolutionary algorithm bases architecture intented to allow for the generation of conceptual or preliminary design stage aircraft designs without any human beings in the loop. The benefits of this approach being more thorough exploration of the design space, the ability to analyze and produce high commonality and modular and modular design configurations, and allowing design capabilities to directly growing computational capabilities. Both an overview of the idealized architecture as well as the results from a simplified test version are presented.

Item Type:Book Section
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Chung, Soon-Jo0000-0002-6657-3907
Additional Information:© 2011 by Michael Duffy. Published by the American Institute of Aeronautics and Astronautics, Inc.
Subject Keywords:Evolutionary algorithms, multidisciplinary design optimization, automated design
Record Number:CaltechAUTHORS:20170120-140152107
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Official Citation:Michael Duffy, Soon-Jo Chung, and Lawrence Bergman. "An Evolutionary Architecture for the Automated Conceptual Design of Aerospace Systems", Infotech@Aerospace 2011, Infotech@Aerospace Conferences, ()
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73593
Deposited By: Ruth Sustaita
Deposited On:21 Jan 2017 01:38
Last Modified:03 Oct 2019 16:29

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