WIT Press


Evolutionary Shape Optimization With Self-adapting Mutation Distribution Based On The Cholesky Decomposition

Price

Free (open access)

Paper DOI

10.2495/OP030241

Volume

67

Pages

10

Published

2003

Size

437 kb

Author(s)

B. Kost

Abstract

Evolutionary shape optimization with self-adapting mutation distribution based on the Cholesky decomposition B. Kost Department of Mechanical Engineering and Production, Hamburg University of Applied Sciences, Germany Abstract The investigations in the paper have been carried out against the background of an integrated approach to the structural design problem. Due to the complex nature of the search space and the continous-discrete-binary system vector in the general case of structural optimization, conventional methods can not be used. Evolution strategies have shown their general capability to solve the sizing and the topology problem. On the other hand when employing evolution strategies to the subproblem of shape optimization they tend to get stuck due to an unsufficient step size adaptation. Therefore, a covariance matrix approach has been used for the self-adaptation of the mutation distribution during the evolutionary shape optimization process. The necessary decomposition of the cova

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