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检索条件"主题词=Optimization Algorithms"
4001 条 记 录,以下是881-890 订阅
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TDOA Indoor Positioning Based on an Improved Whale optimization Algorithm  12
TDOA Indoor Positioning Based on an Improved Whale Optimizat...
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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024
作者: Han, Shen Xie, Liangbo Chen, Yanbang Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China Chongqing University of Posts and Telecommunications International College Chongqing400065 China
In the domain of indoor wireless positioning technology, non-line-of-sight conditions significantly impact signal ranging accuracy, thereby diminishing the positioning accuracy of conventional least squares and CHAN a... 详细信息
来源: 评论
A Competitive Swarm Algorithm Based on Tri-Competitive Criterion for Constrained Multiobjective optimization
A Competitive Swarm Algorithm Based on Tri-Competitive Crite...
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2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Zhou, Jinlong Zhang, Yinggui Yu, Fan Central South University Changsha China
Constrained multiobjective optimization stands as a focal point in the evolutionary computation community. Some promising algorithms for constrained multiobjective evolutionary optimization have been proposed. However... 详细信息
来源: 评论
STATISTICAL optimization WITH AVERAGING USING A MODE OF SIX  38
STATISTICAL OPTIMIZATION WITH AVERAGING USING A MODE OF SIX
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38th Annual European Simulation and Modelling Conference, ESM 2024
作者: Conley, William Austin Cofrin School of Business University of Wisconsin at Green Bay 443 Wood Hall Green BayWI54311 United States
Multi Stage Monte Carlo optimization (MSMCO), also called statistical optimization, is generally used on a complex nonlinear multivariate problem that classical mathematics has difficulty solving. The Fundamental Theo... 详细信息
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Urban Emergency Response optimization Algorithm Based on Deep Learning  5
Urban Emergency Response Optimization Algorithm Based on Dee...
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5th International Conference on Computers, Information Processing and Advanced Education, CIPAE 2024
作者: Luo, Ling Qi, Xiaoman Wang, Chen State Grid Shanghai Electric Power Research Institute Shanghai200437 China
Effective and rapid emergence approaches and responses remain critical in minimizing the impacts of accidents and disasters in the modern urban environment. This article, therefore, draws attention to optimization alg... 详细信息
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Research on the clustering competition coevolution optimization framework under the parallel lion swarm optimization algorithm  24
Research on the clustering competition coevolution optimizat...
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2024 9th International Conference on Mathematics and Artificial Intelligence, ICMAI 2024
作者: Jiang, Keqin Jiang, Mingyan Han, Zongxin Wang, Feng Zhao, Ze School of information science and engineering Shandong university Qingdao266237 China
This study introduces a framework for clustering competition coevolution optimization algorithm based on the parallel Lion Swarm optimization Algorithm (LSO). This framework combines clustering and competitive coevolu... 详细信息
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Fairness aware secure energy efficiency maximization for UAV-assisted data collection in backscattering networks
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VEHICULAR COMMUNICATIONS 2025年 52卷
作者: Zeng, Jiawang Mishra, Deepak Gharakheili, Hassan Habibi Seneviratne, Aruna Univ New South Wales Sch Elect Engn & Telecommun Sydney Australia
Autonomous vehicles for intelligent surveillance in rural areas increasingly demand low-cost and reliable data collection technologies to perform dense monitoring across extended areas. Backscattering communication ha... 详细信息
来源: 评论
Parameters Estimation of Photovoltaic Solar Cell Using a Stochastic optimization Approach  7th
Parameters Estimation of Photovoltaic Solar Cell Using a Sto...
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7th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2023
作者: Djeblahi, Zahia Mahdad, Belkacem Srairi, Kamel Hammoudi, Mohamed Yacine Veysel Murat İstemihan, Genç Science and Technology College Biskra University Biskra Algeria Electrical Engineering Istanbul Technical University Istanbul Turkey
The use of solar photovoltaics to produce electricity is becoming more widespread. The search for the best optimal solar PV models presents the most challenge, owing to their non-linear current versus voltage characte... 详细信息
来源: 评论
Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions
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SCIENTIFIC REPORTS 2025年 第1期15卷 1-24页
作者: Jamaludin, Mohd Nasrul Izzani Tajuddin, Mohammad Faridun Naim Younis, Tarek Thanikanti, Sudhakar Babu Khishe, Mohammad Univ Malaysia Perlis Fac Elect Engn & Technol Arau 02600 Malaysia Aswan Univ Dept Elect Engn Aswan 81528 Egypt Chaitanya Bharathi Inst Technol Dept Elect & Elect Engn Hyderabad 500075 India Imam Khomeini Naval Sci Univ Nowshahr Dept Elect Engn Nowshahr Iran Yuan Ze Univ Innovat Ctr Artificial Intelligence Applicat Taoyuan City Taiwan Appl Sci Private Univ Appl Sci Res Ctr Amman 11937 Jordan Jadara Univ Res Ctr Irbid Jordan
The maximum power delivered by a photovoltaic system is greatly influenced by atmospheric conditions such as irradiation and temperature and by surrounding objects like trees, raindrops, tall buildings, animal droppin... 详细信息
来源: 评论
optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial  62
Optimization Algorithm Synthesis based on Integral Quadratic...
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62nd IEEE Conference on Decision and Control (CDC)
作者: Scherer, Carsten W. Ebenbauer, Christian Holicki, Tobias Univ Stuttgart Dept Math Stuttgart Germany Rhein Westfal TH Aachen Chair Intelligent Control Syst Aachen Germany
We expose in a tutorial fashion the mechanisms which underlie the synthesis of optimization algorithms based on dynamic integral quadratic constraints. We reveal how these tools from robust control allow to design acc... 详细信息
来源: 评论
Efficient Hyper-parameter optimization with Cubic Regularization  37
Efficient Hyper-parameter Optimization with Cubic Regulariza...
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37th Conference on Neural Information Processing Systems (NeurIPS)
作者: Shen, Zhenqian Yang, Hansi Li, Yong Kwok, James Yao, Quanming Tsinghua Univ Dept Elect Engn Beijing Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China
As hyper-parameters are ubiquitous and can significantly affect the model performance, hyper-parameter optimization is extremely important in machine learning. In this paper, we consider a sub-class of hyper-parameter... 详细信息
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