Evolutionary Shape Optimization With Self-adapting Mutation Distribution
Based On The Cholesky Decomposition
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
Keywords
Related Book
Other papers in this volume
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