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作者机构:Institute of Automation and Computer Science Brno University of Technology Czech Republic
出 版 物:《Mendel》 (Mendel)
年 卷 期:2022年第28卷第1期
页 面:63-67页
核心收录:
主 题:Particle swarm optimization (PSO)
摘 要:Advanced optimisation of the aerofoil wing of a general aircraft is the main subject of this paper. Meta-heuristic optimisation techniques, especially swarm algorithms, were used. Subsequently, a new variant denoted as aerofoil particle swarm optimisation (aPSO) was developed from the original particle swarm optimisation (PSO). A parametric model based on B-spline was used to optimise the initial aerofoil. The simulation software Xfoil was calculating basic aerodynamic features (lift, drag, moment). © 2022, Brno University of Technology. All rights reserved.