Results 41 to 50 of about 449 (165)
Ain Shams Engineering JournalIn the relentless quest for sustainable energy solutions on a global scale, a dynamic surge of research and innovation has been ignited within the domain of micro-grid systems.
Vijaykumar G, GeethaV
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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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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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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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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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Prediction of line heating deformation on sheet metal based on an ISSA–ELM model
Scientific Reports, 2023 A prediction method based on an improved salp swarm algorithm (ISSA) and extreme learning machine (ELM) was proposed to improve line heating and forming.
Lei Li +3 more
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, 2022 Automatic vehicle detection has become more important in visual traffic surveillance systems and intelligent transportation in recent years. Most previous techniques for monitoring lane-line misbehavior rely on computer vision methods.
Mr. Sivakumar. T, Dr. L. Manjunatha Rao
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Shared seagull optimization algorithm with mutation operators for global optimization
AIP Advances, 2021 Seagull optimization algorithm (SOA) has the disadvantages of low convergence accuracy, weak population diversity, and tendency to fall into local optimum, especially for high dimensional and multimodal problems. To overcome these shortcomings, initially,
Bing Ma +4 more
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Improved Metaheuristic Algorithms for Optimal Parameters Selection of Proton Exchange Membrane Fuel Cells : a Comparative Study [PDF]
, 2023 As a new attempt to design a precise mathematical model for the proton exchange membrane fuel cell (PEMFC), in this paper, three recently-proposed well-established optimizers: horse herding optimization algorithm (HOA), seagull optimization algorithm ...
Mohamed, Reda +4 more
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Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. [PDF]
Sci RepIn the smart transport system, the immense growth of electric vehicles (EVs) and their charging demand is on the rise. However, the prediction of this demand has become a major issue.
Niranjani V, Haldorai A.
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