Hybrid ant colony and intelligent water drop algorithm for route planning of unmanned aerial vehicles

Sun, Xixia; Pan, Su; Bao, Nan; Liu, Ning

doi:10.1016/j.compeleceng.2023.108957

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…These algorithms aim to minimize driving time, distance, and environmental impact. Furthermore, the latest research focuses on multimodal path planning, which involves integrating different modes of transportation, including walking, cycling, and public transportation, in route planning [ 11 , 12 ]. For truck scheduling and delivery route optimization, researchers are committed to developing efficient truck scheduling algorithms to optimize truck itineraries and delivery routes, considering factors such as truck capacity, load restrictions, delivery windows, and transportation costs.…”

Section: Literature Reviewmentioning

confidence: 99%

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Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Sun,

Liang,

Chang

2024

PLoS ONE

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Uncertainties, such as road restrictions at shipyards and the irregular shape of blocks, pose challenges for transporter scheduling. Efficient scheduling of multiple transporters is critical to improving transportation efficiency. The digital twin (DT) technology offers numerous benefits, enabling interactions between the virtual and real worlds, real-time mapping, and dynamic performance evaluation. Based on DT technology, this study proposes a dynamic scheduling approach for cooperative transportation utilizing multiple transporters. The scheduling problem for multiple transporters is addressed and modeled in this study, considering factors such as block size and transporter loading. To solve this problem, a framework of DT-based multiple transporters system is established in a virtual environment. By inputting block information into this system, a solution is generated using transporter scheduling rules and interference detection methods. Experimental comparisons are conducted in this paper, exploring various scenarios with different number of tasks and the application of DT. The results demonstrate that the proposed approach effectively enhances transportation efficiency and improves ship construction efficiency. Hence, this study expands the application of DT technology in dynamic scheduling of transportation in shipyards and provides new ideas for shipbuilding company managers.

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Section: Literature Reviewmentioning

confidence: 99%

“…The constraint (11) shows that each transporter just has a final task. Constraint (12) defines the start time of the next block based on the upper limit of the previous task block's end time (x t ij ) for the corresponding transporter. Constraint (13) prohibits the repetition of consecutive task blocks.…”

Section: Plos Onementioning

confidence: 99%