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一个改进的分散搜索算法,用于解决与并行批处理机器的作业车间调度问题
Hanpeng Wang1, Hengen Xiong2, Wenlu Zuo1
1School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan, China.
Scientific reports
|April 8, 2025
概括
这项研究引入了汽车模具造调度问题的新方法. 改进的散射搜索算法优化了与并行批处理机器的工厂调度,最大限度地减少了完成时间.
科学领域:
- 运营研究 运营研究
- 制造系统工程 制造系统工程
- 计算优化计算优化
背景情况:
- 汽车模具造涉及复杂的混合加工系统与单一和并行批量机器.
- 现有的工厂调度模式往往难以应对并行批处理和优先级限制的复杂性.
研究的目的:
- 为汽车模具造开发一种新的工作车间排程问题,使用并行批处理机 (JSP-PBPM).
- 为了尽量减少这些混合制造环境中的最大完成时间.
主要方法:
- 开发了一种混合解码策略,集成批量工作添加处理操作优先级.
- 设计了一种改进的散射搜索 (ISS) 算法,该算法包含了群体初始化,解决方案改进,参考集创建,子集生成和解决方案改进.
主要成果:
- 拟议的解码策略有效地解决了优先级限制,并加强了并行批量机器的利用.
- 模拟实验证明了ISS算法的可行性和有效性,用于解决JSP-PBPM.
结论:
- 开发的ISS算法和解码策略为优化汽车模具造中的混合加工系统提供了强大的解决方案.
- 这项研究有助于提高复杂的制造日程安排的效率和缩短完成时间.
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