Results 41 to 50 of about 654 (182)
IEEE Access, 2021 In the urban rail transit (URT) environment, the radio wave propagation prediction model and communication system planning are very important. However, due to the complexity of the tunnel propagation environment, the current prediction model can not ...
Yunshui Zheng, Rui Yan, Yang Liu
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Sensors, 2023 Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the
Na Lu, Bo Wang, Xianglin Zhu
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Guided Seagull Optimization for Improved PV MPPT in Partial Shading
, 2023 Based on the Seagull Optimization approach, this paper proposes a completely new, rapid Maximum Power Point tracking method. After adding opposition learning and adjusting the convergence factor to the initial version, the intended algorithm - dubbed The
Kheldoun, Aissa +6 more
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Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor
Jurnal Elektronika dan Telekomunikasi, 2021 This article presents a direct current (DC) motor control approach using a hybrid Seagull Optimization Algorithm (SOA) and Neural Network (NN) method. SOA method is a nature-inspired algorithm.
Widi Aribowo +3 more
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Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model
IEEE Access, 2021 Existing methods in predicting short-term photovoltaic (PV) power have low accuracy and cannot satisfy actual demand. Thus, a prediction model based on similar days and seagull optimization algorithm (SOA) is proposed to optimize a deep belief network ...
Wei Hu +3 more
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A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm [PDF]
IEEE Access, 2020 In practice, classification problems have appeared in many scientific fields, including finance, medicine and industry. It is critically important to develop an effective and accurate classification model. Although numerous useful classifiers have been proposed, they are unstable, sensitive to noise and slow in computation. To overcome these drawbacks,
He Jiang 0003 +3 more
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Improvement of the Seagull Optimization Algorithm and Its Application in Path Planning
Journal of Physics: Conference Series, 2022 Abstract Seagull Optimization Algorithm (SOA) is an emerging intelligent optimization algorithm proposed in recent years. This paper proposes an improvement in the SOA based on Levy flight(LSOA), which aims to solve the problems of decreasing exploration ability and easing to fall into local extreme values in the late stage of SOA.
Jing Chen, Xin Chen, Zaifei Fu
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Optimal Parameter Estimation Methodology of Solid Oxide Fuel Cell Using Modern Optimization
Mathematics, 2021 An optimal parameter estimation methodology of solid oxide fuel cell (SOFC) using modern optimization is proposed in this paper. An equilibrium optimizer (EO) has been used to identify the unidentified parameters of the SOFC equivalent circuit with the ...
Hesham Alhumade +4 more
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Improving Delay in SDNs by Metaheuristic Controller Placement [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2022 Software-defined networking is a new network model proposed to solve the complexity of traditional network problems and facilitate dynamic network operation and management.
Maedeh Abedini Bagha +3 more
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Frontiers in Earth Science, 2022 Uniaxial compressive strength (UCS) is a significant parameter in mining engineering and rock engineering. The laboratory rock test is time-consuming and economically costly.
Yu Lei +4 more
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