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检索条件"主题词=Multi-objective marine predator algorithm"
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Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a multi-objective marine predator algorithm with Enhanced Diversity
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Journal of Bionic Engineering 2024年 第5期21卷 2497-2514页
作者: Yang Yang Yuchao Gao Jinran Wu Zhe Ding Shangrui Zhao Nanjing University of Posts and Telecommunications Nanjing210023China Australian Catholic University Banyo4014Australia Queensland University of Technology Brisbane4001Australia Wuhan University of Technology Wuhan430070China
Power systems are pivotal in providing sustainable energy across various ***,optimizing their performance to meet modern demands remains a significant *** paper introduces an innovative strategy to improve the opti-mi... 详细信息
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MOMPA: multi-objective marine predator algorithm
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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2021年 385卷 114029-114029页
作者: Zhong, Keyu Zhou, Guo Deng, Wu Zhou, Yongquan Luo, Qifang Guangxi Univ Nationalities Coll Artificial Intelligence Nanning 530006 Guangxi Peoples R China China Univ Polit Sci & Law Dept Sci & Technol Teaching Beijing 100088 Peoples R China Guangxi Key Labs Hybrid Computat & IC Design Anal Nanning 530006 Guangxi Peoples R China Civil Aviat Univ China Coll Elect Informat & Automat Tianjin 300300 Hebei Peoples R China
In this paper, a multi-objective version of the recently proposed marine predator algorithm (MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA). In this algorithm, an external arc... 详细信息
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Coordinated optimization on energy capture and torque fluctuation of wind turbines via variable weight NMPC with fuzzy regulator
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APPLIED ENERGY 2022年 312卷 118821-118821页
作者: Song, Dongran Tu, Yanping Wang, Lei Jin, Fangjun Li, Ziqun Huang, Chaoneng Xia, E. Rizk-Allah, Rizk M. Yang, Jian Su, Mei Joo, Young Hoon Cent South Univ Sch Automat Changsha Hunan Peoples R China Chongqing Univ Sch Automat Chongqing Peoples R China Menoufia Univ Dept Basic Engn Sci Fac Engn Shibin Al Kawm Egypt Kunsan Natl Univ Sch IT Informat & Control Engn Kunsan South Korea
The main challenge in improving energy harvest faced by modern large-scale wind turbines (WTs) comes from the fact that the blade rotor with the large inertia having a slow response impedes the optimal tip speed ratio... 详细信息
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