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Andry Sedelnikov, Evgenii Kurkin, Jose Gabriel Quijada-Pioquinto, Oleg Lukyanov, Dmitrii Nazarov, Vladislava Chertykovtseva, Ekaterina Kurkina and Van Hung Hoang
This paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfoil o...
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Weijun Pan, Liru Qin, Qinyue He and Yuanjing Huang
This paper presents a conflict detection and resolution method based on a velocity obstacle method for flight conflicts in a three-dimensional space. With the location and speed information of the two aircraft, the optimal relief strategy is obtained usi...
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Gill Velleda Gonzales, Cesare Biserni, Emanuel da Silva Diaz Estrada, Gustavo Mendes Platt, Liércio André Isoldi, Luiz Alberto Oliveira Rocha, Antônio José da Silva Neto and Elizaldo Domingues dos Santos
A new complex geometry cavity is optimized by associating the constructal design (CD) method with the differential evolution (DE) algorithm. Statistical analyses are performed to indicate the best parameters of the meta-heuristic to be applied during the...
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Qidong Zhang, Guiping Lin, Jinghui Guo, Haichuan Jin and Qiming Zhang
The thermal management system (TMS) for aircraft fuel is a critical component of integrated TMSs in aircraft. As such, its optimal design is necessary to ensure the efficient completion of flight missions. This study presents the model building of a nume...
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Alessia Donato and David Carfì
In this paper, we propose a new method of optimization based on genetic algorithms using the MATLAB toolbox ?Global Optimization?. The algorithm finds layers moduli of a flexible pavement through the measurement of pavement surface deflections under assi...
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Tianhe Gao, Ziyu Xu, Zengcong Li, Pei Liu and Kuo Tian
As one of the most complex and critical components of spacecraft, the structural design of the curved cabin door faces two challenges. On the one hand, it is difficult to obtain innovative configurations for the cabin door in the preliminary design stage...
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Diamantis Karakatsanis, Thomas Patsialis, Kyriaki Kalaitzidou, Ioannis Kougias, Maria Margarita Ntona, Nicolaos Theodossiou and Nerantzis Kazakis
The optimization of dam operations to transform them into multi-objective facilities constitutes a challenge for both hydrology, hydrogeology, and hydropower generation. However, the use of the optimal algorithm for such transformation is critically impo...
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Chi Zhang, Zhong Yang, Haoze Zhuo, Luwei Liao, Xin Yang, Tang Zhu and Guotao Li
Self-localization and state estimation are crucial capabilities for agile drone autonomous navigation. This article presents a lightweight and drift-free vision-IMU-GNSS tightly coupled multisensor fusion (LDMF) strategy for drones? autonomous and safe n...
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Shumin Lai, Longjun Huang, Ping Li, Zhenzhen Luo, Jianzhong Wang and Yugen Yi
In this paper, we present a novel unsupervised feature selection method termed robust matrix factorization with robust adaptive structure learning (RMFRASL), which can select discriminative features from a large amount of multimedia data to improve the p...
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Yongchuan Wu, Gang Sun and Jun Tao
In this study, a multi-objective aerodynamic optimization is performed on the rotor airfoil via an improved MOPSO (multi-objective particle swarm optimization) method. A database of rotor airfoils containing both geometric and aerodynamic parameters is e...
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