The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

DE algorithm flow. حسب Ling Zhao (111365)

"…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …"

Test results of different algorithms. حسب Ling Zhao (111365)

"…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …"

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses حسب Meichen Liu (8168148)

The comparison of different optimization models. حسب Jiefei Zhang (8787494)

الموضوعات:

Optimal schemes for different resource limitations. حسب Jiefei Zhang (8787494)

الموضوعات:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

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Complex traffic line and track point diagram. حسب Mingkang Sun (6498791)

Complex traffic line and track point diagram. حسب Mingkang Sun (6498791)

Flight path in three-dimensional space. حسب Yingbo Mao (22522192)

"…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. …"

Schematic diagram of obstacle-avoiding paths. حسب Yingbo Mao (22522192)

"…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. …"

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)

The candidate bridging-bus routes in scenario. حسب Jiefei Zhang (8787494)

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Flowchart of the model solution. حسب Jiefei Zhang (8787494)

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Schematic of metro network disruption and bus bridging response routes. حسب Jiefei Zhang (8787494)

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Travel delays for different resource limitations. حسب Jiefei Zhang (8787494)

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The links and travel time of candidate bridging-bus routes in scenario. حسب Jiefei Zhang (8787494)

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Schematic of the disrupted network considered in the case study. حسب Jiefei Zhang (8787494)

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The sensitivity analysis of fluctuating evacuation demand. حسب Jiefei Zhang (8787494)

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Convergence of the GA under different parameters. حسب Jiefei Zhang (8787494)

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