Abstract
This paper is devoted to the application of hybrid evolutionary algorithm (HEA) in optimization of structures under dynamical loads. The HEA algorithms is a coupling of evolutionary and gradient algorithms, additionally the artificial neural network is used to control the selected parameters of this algorithm. The NURBS curves were used to model the shape of the structure. Three special types of chromosomes were tested to control the number of internal voids in the case topology optimization. The boundary element method [2] was need to compute the fitness function. The fitness function was expressed as the function depending on the displacements, stresses, mass, eigenfrequencies and compliance. Several tests were made [7], more interesting ones are presented in this paper.
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© 2004 Kluwer Academic Publishers
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Orantek, P. (2004). Hybrid Evolutionary Algorithms in Optimization of Structures under Dynamical Loads. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_28
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DOI: https://doi.org/10.1007/1-4020-2267-0_28
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-2266-1
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