Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem

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...

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Veröffentlicht in:	Engineering with computers Jg. 38; H. Suppl 3; S. 2499 - 2513
Hauptverfasser:	Jiao, Jian, Ghoreishi, Seyed-mohsen, Moradi, Zohre, Oslub, Khaled
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2022 Springer Nature B.V
Schlagworte:	CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Convergence Equations of motion Fourier series Genetic algorithms Math. Applications in Chemistry Mathematical and Computational Engineering Optimization techniques Original Article Particle swarm optimization Phase velocity Series expansion Systems Theory Wave propagation Wavelengths Phase velocity Genetic algorithm MEE nanoplate NSGT Maxwell’s equation Laminated layers Particle swarm optimization
ISSN:	0177-0667, 1435-5663
Online-Zugang:	Volltext
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