24th Congress of International Council of the Aeronautical Sciences, 29 August-3, September 2004, Yokohama, Japan
Paper ICAS 2004-4.5.3

MULTILEVEL DISTRIBUTED SUBSTRUCTURE OPTIMIZATION

J. O. Entzinger, R. Spallino* , W. Ruijter
University of Twente, Mechanical Engineering Department, Netherlands; * AIRBUS Deutschland GmbH, Germany

Keywords: genetic algorithms, neural networks, optimisation, composite structures, aerospace structures

An iterative optimisation routine for aircraft structures using Genetic Algorithms (GAs) and Neural Networks (NNs) is presented. In this setup the NNs form a response surface, approximating the key mechanical properties of substructures.

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