An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems

Aerodynamic shape optimization is frequently complicated and challenging due to the involvement of multiple objectives, large-scale decision variables, and expensive cost function evaluation. This paper presents a bilayer parallel hybrid algorithm framework coupling multi-objective local search and...

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Veröffentlicht in:	Mathematics (Basel) Jg. 11; H. 18; S. 3844
Hauptverfasser:	Cao, Fan, Tang, Zhili, Zhu, Caicheng, Zhao, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2023
Schlagworte:	Accuracy aerodynamic shape optimization Algorithms Convergence Cost function Coupling Design optimization Efficiency Engineering Food science Genetic algorithms global evolutionary hybrid algorithm local gradient search Mathematical analysis Methods multi-objective optimization Multiple objective analysis Operators (mathematics) Optimization algorithms Optimization techniques Pareto optimization Shape optimization Variables
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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