多种农业机械合作的动态工作分配方法基于改进的殖民地算法
Cheng Zhang1, Liruizhi Jia1, Shengquan Liu2
1School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China.
Scientific reports
|September 28, 2024
概括
本研究介绍了一种改进的殖民地算法,用于在多机农业操作中动态分配工作. 它优化了收割机和运输车辆的调度,最大限度地降低了成本和停机时间,即使是机器故障.
科学领域:
- 农业工程 农业工程
- 运营研究 运营研究
- 人工智能的人工智能
背景情况:
- 现代大规模农业依赖于协调的多机器操作.
- 单一机器故障可能会破坏整个农业企业.
研究的目的:
- 通过使用改进的殖民地算法,为多机器协作提出动态工作分配方法.
- 优化收割机和运输车辆的调度,确保运营连续性.
主要方法:
- 使用改进的殖民地算法进行初始收割机调度.
- 采用数据转换算法,根据收割机输出进行运输车辆调度.
- 再次应用了改进的殖民地算法来优化运输车辆的调度.
- 针对机器故障或环境变化实施双层和单层调度策略.
主要成果:
- 该方法有效地确定了收割机和运输车辆在故障期间的最佳调度计划.
- 实现了对收割机的零不生产性等待时间.
- 尽量减少所需的运输车辆的数量.
- 减少运营时间成本和运输成本.
结论:
- 拟议的方法提高了多种农业机械协作操作的效率和弹性.
- 它为复杂的农业环境中的调度和管理挑战提供了可行的解决方案.
- 显示了将其集成到无人农场系统中的巨大潜力.
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