A two phase approach based on skeleton convergence and geometric variables for topology optimization using genetic algorithm

This paper introduces a set of skeleton operators for characterizing topologies evolving in a bit-array represented structural topology optimization problem. It is shown that the design generally converges to a stable skeleton fairly early in the optimization process. It is observed that further opt...

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Veröffentlicht in:	Structural and multidisciplinary optimization 2011-03, Vol.43 (3), p.381-404
Hauptverfasser:	Balamurugan, R., Ramakrishnan, C. V., Swaminathan, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrays Computational Mathematics and Numerical Analysis Convergence Engineering Engineering Design Genetic algorithms Operators Representations Research Paper Theoretical and Applied Mechanics Topology optimization
Online-Zugang:	Volltext
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