An advanced evolutionary strategy with an adaptive penalty function for mixed-discrete structural optimisation

Authors:
Carsten Ebenau;Jens Rottschäfer;Georg Thierauf
Affiliations:
Engineering Association Hamelmann-Karvanek-Thierauf, Essen, Germany;Department of Civil Engineering, Institute of Structural Mechanics, University of Duisburg-Essen, Essen, Germany;Department of Civil Engineering, Institute of Structural Mechanics, University of Duisburg-Essen, Essen, Germany
Venue:
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Year:
2005

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Abstract

Modular three-dimensional steel frames are prefabricated structures with slender elements and dominating compressive forces. Their analysis includes different non-linearities and the optimisation variables are often mixed-discrete or topological. The optimisation of these systems requires the most advanced solution techniques but also a systematic preprocessing, a sophisticated non-linear structural analysis and an automated handling of stress- and displacement-constraints as well as further side-constraints resulting from the underlying codes of practice. In this contribution, a (µ + 1)-evolutionary strategy combined with an adaptive penalty function and a special selection scheme is presented to solve this optimisation problem.