Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System
In this paper, we investigate the dynamic task scheduling problem with stochastic task arrival times and due dates in the UAV-based intelligent on-demand meal delivery system (UIOMDS) to improve the efficiency. The objective is to minimize the total tardiness. The new constraints and characteristics...
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| Vydáno v: | IEEE transactions on intelligent transportation systems Ročník 23; číslo 8; s. 13040 - 13054 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.08.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1524-9050, 1558-0016, 1558-0016 |
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| Abstract | In this paper, we investigate the dynamic task scheduling problem with stochastic task arrival times and due dates in the UAV-based intelligent on-demand meal delivery system (UIOMDS) to improve the efficiency. The objective is to minimize the total tardiness. The new constraints and characteristics introduced by UAVs in the problem model are fully studied. An iterated heuristic framework SES (Stochastic Event Scheduling) is proposed to periodically schedule tasks, which consists of a task collection and a dynamic task scheduling phases. Two task collection strategies are introduced and three Roulette-based flight dispatching approaches are employed. A simulated annealing based local search method is integrated to optimize the solutions. The experimental results show that the proposed algorithm is robust and more effective compared with other two existing algorithms. |
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| AbstractList | In this paper, we investigate the dynamic task scheduling problem with stochastic task arrival times and due dates in the UAV-based intelligent on-demand meal delivery system (UIOMDS) to improve the efficiency. The objective is to minimize the total tardiness. The new constraints and characteristics introduced by UAVs in the problem model are fully studied. An iterated heuristic framework SES (Stochastic Event Scheduling) is proposed to periodically schedule tasks, which consists of a task collection and a dynamic task scheduling phases. Two task collection strategies are introduced and three Roulette-based flight dispatching approaches are employed. A simulated annealing based local search method is integrated to optimize the solutions. The experimental results show that the proposed algorithm is robust and more effective compared with other two existing algorithms. |
| Author | Wu, Min Hu, Chengxi Huang, Haiping Zhu, Jie Malekian, Reza |
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| SubjectTerms | Algorithms Costs Heuristic algorithms Heuristics algorithm Logistics Multitasking O2O on-demand meal delivery On demands Random processes rescheduling strategy Routing Routing algorithms Routings Scheduling algorithms Simulated annealing Stochastic processes Stochastic systems Stochastic task stochastic task scheduling Stochastics Task analysis Task scheduling UAV Unmanned aerial vehicles (UAV) Vehicle dynamics Vehicle's dynamics |
| Title | Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System |
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