An Energy-Saving and Efficient Deployment Strategy for Heterogeneous Wireless Sensor Networks Based on Improved Seagull Optimization Algorithm [PDF]
Biomimetics, 2023 The Internet of Things technology provides convenience for data acquisition in environmental monitoring and environmental protection and can also avoid invasive damage caused by traditional data acquisition methods.
Li Cao +4 more
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Multi-strategy Improved Seagull Optimization Algorithm
International Journal of Computational Intelligence Systems, 2023 Aiming at the shortcomings of seagull optimization algorithm in the process of searching for optimization, such as slow convergence speed, low precision, easy falling into local optimal, and performance dependent on the selection of parameters, this ...
Yancang Li +4 more
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Energies, 2022 Accurate load forecasting is conducive to the formulation of the power generation plan, lays the foundation for the formulation of quotation, and provides the basis for the power management system and distribution management system.
Suqi Zhang +3 more
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Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
Energy Reports, 2019 This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the ...
Yan Cao +4 more
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EnergiesTo address the high complexity layout optimization problem of an offshore wind and wave energy co-generation system, an improved seagull optimization algorithm-based method is proposed.
Xiaoshi Zhuang +6 more
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A Multi-Strategy Improved Seagull Optimization Algorithm for Global Optimization and Artistic Image Segmentation [PDF]
BiomimeticsMultilevel threshold image segmentation is a key task in image processing, yet it faces challenges such as low search efficiency in high-dimensional spaces, difficulty in balancing segmentation accuracy and stability, and insufficient adaptability to ...
Yangyang Jiang
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Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed. [PDF]
Adv Eng Softw, 2022 The establishment of fuzzy relations and the fuzzification of time series are the top priorities of the model for predicting fuzzy time series. A lot of literature studied these two aspects to ameliorate the capability of the forecasting model. In this paper, we proposed a new method(FTSOAX) to forecast fuzzy time series derived from the improved ...
Xian S, Chen K, Cheng Y.
europepmc +4 more sources
A Power Transformer Fault Diagnosis Method-Based Hybrid Improved Seagull Optimization Algorithm and Support Vector Machine [PDF]
IEEE Access, 2022 The method of Support Vector Machine (SVM) based on Dissolved Gas Analysis (DGA) has been studied in the field of power transformer fault diagnosis. However, there are still some shortcomings, such as the fuzzy boundaries of DGA data, and SVM parameters ...
Yuhan Wu +4 more
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IEEE Access, 2022 This paper proposes an orthogonal design-based control vector parameterization (OCVP, for short) and a Gaussian distribution-based seagull optimization algorithm (GSOA) for dynamic optimization problems (DOPs). OCVP uses orthogonal experimental design to
Haidong Guo, Yuanbin Mo, Yuedong Zhang
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Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm [PDF]
Scientific ReportsTo enhance the reliability of cable force optimization in large-span cable-stayed bridges, this study presents a force optimization model that considers reliability indicators specific to these types of bridges.
Dan Zhao, Hua Wang, Mengsheng Yu
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