Design optimization of moderately thick hexagonal honeycomb sandwich plate with modified multi-objective particle swarm optimization by genetic algorithm (MOPSOGA)

Design optimization of moderately thick hexagonal honeycomb sandwich plate has been investigated via employing an improved multi-objective particle swarm optimization with genetic algorithm (MOPSOGA). Based on the first-order shear deformation theory (FSDT), governing equations of the plate are obta...

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Bibliographic Details

Published in:	Composite structures Vol. 252; p. 112626
Main Authors:	Namvar, A.R., Vosoughi, A.R.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.11.2020
Subjects:	Design optimization of cellular material First-order shear deformation theory Genetic algorithm Hexagonal honeycomb sandwich plate Modified multi-objective particle swarm optimization algorithm First-order shear deformation theory Modified multi-objective particle swarm optimization algorithm Genetic algorithm Design optimization of cellular material Hexagonal honeycomb sandwich plate
ISSN:	0263-8223, 1879-1085
Online Access:	Get full text
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