| 基于时间窗的农机调度技术研究进展 |
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| 引用本文： | 黄凰,陈燕燕,陈鹏宇,罗锐,刘亚东,胡炜.基于时间窗的农机调度技术研究进展[J].中国农业科技导报,2022,24(4):93-106. |
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| 作者姓名： | 黄凰 陈燕燕 陈鹏宇 罗锐 刘亚东 胡炜 |
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| 作者单位： | 1.华中农业大学工学院, 农业农村部长江中下游农业装备重点实验室, 武汉 430070;2.湖北省农业农村厅农业机械化管理处, 武汉 430070;3.成都师范学院计算机科学学院, 成都 611130 |
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| 基金项目： | 国家自然科学基金项目(71503095);湖北省农业科技创新行动和中央高校基本科研业务费专项(2662015QC017) |
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| 摘 要： | 构建合理的跨区域多农机调度服务作业系统可以减少传统农机作业调配方式的成本,避免多区域作业农机的盲目流动,提升农业机械的作业效率.目前,跨区域多农机调度服务作业是我国农业的主要作业方式,智能调度模型和优化算法被广泛应用到农机调度中.针对基于时间窗的农机智能调度技术的特点,综述了农机调度与传统车辆调度的区别,以及国内外学者...
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| 关 键 词： | 农机调度 时间窗 优化模型 智能算法 |
| 收稿时间： | 2021-08-20 |
Research Progress of Agricultural Machinery Scheduling Technology Based on Time Window |
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| Huang HUANG,Yanyan CHEN,Pengyu CHEN,Rui LUO,Yadong LIU,Wei HU.Research Progress of Agricultural Machinery Scheduling Technology Based on Time Window[J].Journal of Agricultural Science and Technology,2022,24(4):93-106. |
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| Authors: | Huang HUANG Yanyan CHEN Pengyu CHEN Rui LUO Yadong LIU Wei HU |
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| Institution: | 1.Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs; College of Engineering, Huazhong Agricultural University, Wuhan 430070, China;2.Agricultural Mechanization Management Department of Hubei Provincial Department of Agriculture and Rural Affairs, Wuhan 430070, China;3.School of Computer Science, Chengdu Normal University, Chengdu 611130, China |
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| Abstract: | The construction of cross-regional multi-agricultural machinery scheduling service system can reduce the cost of traditional agricultural machinery allocation， avoid the blind flow of multi-regional agricultural machinery， and improve the efficiency of agricultural machinery. At present， cross-regional multi-agricultural machinery scheduling service is the main operation mode of agriculture in China， and intelligent scheduling model and optimization algorithm are widely used in agricultural machinery scheduling. Aiming at the characteristics of agricultural machinery intelligent scheduling technology based on time window， the differences between agricultural machinery scheduling and traditional vehicle scheduling， and the research on the current situation of agricultural machinery intelligent scheduling by domestic and foreign scholars were introduced. And problems of hard time window， soft time window and fuzzy time window in the field of vehicle scheduling were also expounded. Models of agricultural machinery intelligent scheduling optimization problem were sorted out and classified， and hybrid algorithms of single intelligent algorithm and multiple algorithms for agricultural machinery scheduling problems were summarized. The status of agricultural machinery scheduling problems on job focus， model building and scheduling algorithm were summarized， and the future development direction was prospected. |
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| Keywords: | agricultural machinery scheduling time window optimization model intelligent algorithm |
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