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Engineering Applications of Computational Fluid Mechanics Volume 15, 2021 - Issue 1
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Research Article

Structural parameters optimization of submerged inlet using least squares support vector machines and improved genetic algorithm-particle swarm optimization approach

Houju Peia Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics & Astronautics, Nanjing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-4334-376XView further author information
ORCID Icon,
Yonglong Cuib Marine Design & Research Institute of China, Shanghai, People’s Republic of ChinaView further author information
,
Benben Konga Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics & Astronautics, Nanjing, People’s Republic of ChinaView further author information
,
Yanlong Jianga Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics & Astronautics, Nanjing, People’s Republic of ChinaView further author information
&
Hong Shic College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, People’s Republic of ChinaCorrespondence[email protected]
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Pages 503-511 | Received 31 Aug 2020, Accepted 15 Dec 2020, Published online: 08 Mar 2021

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Vijay Kumar Singh, Kanhu Charan Panda, Atish Sagar, Nadhir Al-Ansari, Huan-Feng Duan, Pradosh Kumar Paramaguru, Dinesh Kumar Vishwakarma, Ashish Kumar, Devendra Kumar, P. S. Kashyap, R. M. Singh & Ahmed Elbeltagi. (2022) Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity. Engineering Applications of Computational Fluid Mechanics 16:1, pages 1082-1099.
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Weiguo Zhao, Hongfei Zhang, Zhenxing Zhang, Kaidi Zhang & Liying Wang. (2022) Parameters Tuning of Fractional-Order Proportional Integral Derivative in Water Turbine Governing System Using an Effective SDO with Enhanced Fitness-Distance Balance and Adaptive Local Search. Water 14:19, pages 3035.
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