@inproceedings{4ce0fa3bda564e7787368bc50913d9b4,
title = "An evolutionary architecture for the automated conceptual design of aerospace systems",
abstract = "Many different approaches to total system design and optimization have been attempted. The Genetic Learning Automated Design Optimization Software (GLADOS) presented here represents a flexible evolutionary algorithm based architecture intended 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 design configurations, and allowing design capabilities to directly track growing computational capabilities. Both an overview of the idealized architecture as well as the results from a simplified test version are presented.",
keywords = "Automated design, Evolutionary algorithms, Multidisciplinary design optimization",
author = "Michael Duffy and Chung, {Soon Jo} and Lawrence Bergman",
year = "2011",
month = dec,
day = "1",
language = "English (US)",
isbn = "9781600869440",
series = "AIAA Infotech at Aerospace Conference and Exhibit 2011",
booktitle = "AIAA Infotech at Aerospace Conference and Exhibit 2011",
note = "AIAA Infotech at Aerospace Conference and Exhibit 2011 ; Conference date: 29-03-2011 Through 31-03-2011",
}