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custom algorithm » fusion algorithm (Expand Search), control algorithm (Expand Search), lasso algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
complex custom » complex fusion (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
custom algorithm » fusion algorithm (Expand Search), control algorithm (Expand Search), lasso algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
complex custom » complex fusion (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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The flowchart of QLDE algorithm.
Published 2025“…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …”
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Schematic diagram of <i>K</i>-means algorithm.
Published 2025“…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …”
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Customer point clustering results.
Published 2025“…., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. …”
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Basic information of customer points.
Published 2025“…., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. …”
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Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)
Published 2025“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”
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