Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance...
Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem
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Publisher
London: Springer London
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Language
English
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London: Springer London
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Contents
As a first attempt, Fourier series expansion (FSE), particle swarm optimization (PSO), and genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance and propagated waves in the magneto-electro-elastic (MEE) nanoplate. The FSE method is presented for solving the motion equations of the MEE nanoplate. For increasing th...
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Full title
Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem
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TN_cdi_proquest_journals_2701614136
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2701614136
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ISSN
0177-0667
E-ISSN
1435-5663
DOI
10.1007/s00366-021-01391-x
