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相关概念视频

Migration00:53

Migration

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Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
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相关实验视频

Updated: Jun 12, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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基于虚拟模拟的优化,用于使用迁徙鸟类算法编程装配流车间.

Wen-Bin Zhao1, Jun-Han Hu1, Zi-Qiao Tang2

  • 1College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Biomimetics (Basel, Switzerland)
|September 27, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种高效的迁徙鸟类优化算法,用于工厂调度. 它在灵活的制造中提高了生产计划和预测准确性,最大限度地减少了完成时间.

关键词:
生物优化算法 生物优化算法混合组装流程车间的混合组装流程车间候鸟优化算法 候鸟优化算法多模束限制的多模束限制这是一个虚拟模拟虚拟模拟.

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科学领域:

  • 工业工程 工业工程 工业工程
  • 运营研究 运营研究
  • 计算智能是一种计算智能.

背景情况:

  • 工业信息化推动了虚拟模拟的采用,用于实时数据捕获和数字模型构建.
  • 生物优化算法显示出提高制造时间安排和运营效率的前景.
  • 灵活和混合流量生产模式需要先进的调度解决方案,以提高准确性.

研究的目的:

  • 开发一种高效的迁徙鸟类优化算法,用于在模具限制的装配车间进行生产调度.
  • 为了最大限度地减少批量流混合装配流车间调度问题的最大完成时间.
  • 整合一个虚拟模拟框架和可变批量分区策略.

主要方法:

  • 一个针对生产阶段量身定制的两级编码机制,用于批量分区和序列化.
  • 批量分区和排序的优化策略,包括适应性邻里结构调整.
  • 一个竞争机制来提高算法的优化效率.

主要成果:

  • 迁徙鸟类优化算法有效地解决了生产计划方面的挑战.
  • 变量批量分区策略显示,与等批量策略相比,有5-6%的改进.
  • 模拟实验证实了算法在各种规模和参数上的稳定性.

结论:

  • 拟议的算法和可变批量分区策略提高了生产调度效率.
  • 虚拟模拟与生物优化相结合,为现代制造提供了强大的方法.
  • 该研究为复杂的装配车间调度问题提供了强大的解决方案.