Results 1 to 10 of about 261 (126)

Multi-Strategy Improved Pelican Optimization Algorithm for Engineering Optimization Problems and 3D UAV Path Planning [PDF]

Biomimetics
To address the path-planning challenge for unmanned aerial vehicles (UAVs) in complex environments, this study presents an improved pelican optimization algorithm enhanced with multiple strategies (MIPOA).
Ming Zhang, Maomao Luo, Huiming Kang
doaj   +2 more sources

Pattern synthesis of linear array antennas based on Chaos Triangular Pelican Optimization Algorithm [PDF]

Scientific Reports
In wireless communication systems, array antennas with high gain and low sidelobe performance can enhance the system’s signal processing and anti-interference capabilities, using intelligent optimization algorithm to optimize the performance of array ...
Anyong Liu, Yan Liu, Zhuo Chen, Yibo Wang, Yurong Yin   +4 more
doaj   +2 more sources

A hybrid optimization and graph network for sustainable electric vehicle charging using a dual active bridge converter and renewable energy [PDF]

Scientific Reports
The Hybrid Renewable Energy (HRE) in Electric Vehicle (EV) charging involves combining power from Photovoltaic (PV), Fuel Cell (FC), and batteries, as well as charging batteries for upcoming charging cycles.
Priya Narayanan, Prabaakaran Kandasamy, Nehru Kandasamy, Jaisiva Selvaraj   +3 more
doaj   +2 more sources

Study on reservoir optimal operation based on coupled adaptive ε constraint and multi strategy improved Pelican algorithm [PDF]

Scientific Reports, 2023
The optimal operation of reservoir groups is a strongly constrained, multi-stage, and high-dimensional optimization problem. In response to this issue, this article couples the standard Pelican optimization algorithm with adaptive ε constraint methods ...
Ji He, Xiaoqi Guo, Songlin Wang, Haitao Chen, Fu-Xin Chai   +4 more
doaj   +2 more sources

Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling [PDF]

Frontiers in Artificial Intelligence
With the fast development of electric vehicles, the demand for intelligent charging management strategies in order to minimize operational costs, ensure grid stability, and enhance user satisfaction.
Urvashi Khekare, Rajay Vedaraj I. S.
doaj   +2 more sources

A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA [PDF]

Sensors, 2023
Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted.
Kang Yi, Changxin Cai, Wentao Tang, Xin Dai, Fulin Wang, Fangqing Wen   +5 more
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A POA-QPSO Hybrid Algorithm for Multi-Objective Optimization of Dual-Layer Walker Constellations [PDF]

Sensors
The rapid development of low earth orbit (LEO) satellite constellations for navigation augmentation represents significant challenges in optimizing coverage performance while minimizing system complexity.
Yinuo Wang, Hongyuan Ye, Tianwen Du, Xuchu Mao   +3 more
doaj   +2 more sources

Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost [PDF]

Scientific Reports
Scouring around bridge piers poses a critical threat to structural integrity, leading to costly damage and safety risks. Traditional equations often fail to accurately predict equilibrium scour depth (S eq ) due to the complexity and nonlinearity of the ...
Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, Essam Heggy   +4 more
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine [PDF]

Scientific Reports
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness.
Debendra Muduli, Rani Kumari, Adnan Akhunzada, Korhan Cengiz, Santosh Kumar Sharma, Rakesh Ranjan Kumar, Dinesh Kumar Sah   +6 more
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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks [PDF]

Scientific Reports
To facilitate rapid and precise predictions of pile bearing capacity, a Back Propagation (BP) neural network model has been developed utilizing data sourced from existing literature. The model incorporates several input parameters, including pile length,
Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao   +5 more
doaj   +2 more sources