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
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Zusammenfassung: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 the performance of genetic algorithms for solving the problem, the particle swarm optimization technique is added as an operator of the GA. Accuracy, convergence, and applicability of the proposed mixed approach are shown in the results section. Also, we prove that for obtaining the convergence results of the PSO and GA, we should consider more than 16 iterations. Finally, it is shown that if designers consider the presented algorithm in their model, the results of phase velocity of the nanosystem will be increased by 27%. A useful suggestion is that there is a region the same as a trapezium in which there are no effects from magnetic and electric potential of the MEE face sheet on the phase velocity of the smart nanoplate, and the region will be bigger by increasing the wavenumber.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-021-01391-x