Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing

This paper proposes a new self-adaptive meta-heuristic (MH) algorithm for multiobjective optimisation. The adaptation is accomplished by means of estimation of distribution. The differential evolution reproduction strategy is modified and used in this dominance-based multiobjective optimiser whereas...

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Veröffentlicht in:	Engineering with computers Jg. 38; H. 1; S. 695 - 713
Hauptverfasser:	Wansasueb, Kittinan, Pholdee, Nantiwat, Panagant, Natee, Bureerat, Sujin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.02.2022 Springer Nature B.V
Schlagworte:	Adaptive algorithms Aeroelasticity Aircraft Aircraft design Algorithms CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Evolutionary computation Flutter Heuristic Heuristic methods Math. Applications in Chemistry Mathematical and Computational Engineering Multiple objective analysis Optimization Original Article Parameter estimation Ply orientation Structural weight Systems Theory Wings (aircraft) Multiobjective evolutionary algorithms Surrogate models Aeroelasticity Aircraft wing Estimation of distribution algorithm
ISSN:	0177-0667, 1435-5663
Online-Zugang:	Volltext
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