建设性-破坏性邻居搜索驱动人工蜜蜂群算法变速绿色混合动力流车间调度问题
Danying Hu1,2, Yali Wu3,4, Lipeng Qiu5
1Department of Information and Control Engineering, Xi'an University of Technology, Xi'an, 710048, China.
Scientific reports
|March 21, 2025
概括
研究人员开发了一种新的算法来解决变速混合式流量车间调度问题. 这种方法优化了产品范围和能源消耗,在大多数测试案例中表现优于现有的方法.
科学领域:
- 运营研究 运营研究
- 人工智能的人工智能
- 制造系统制造系统的制造
背景情况:
- 混合流车间调度问题 (HFSP) 是一个复杂的,NP难题,具有重大研究兴趣.
- 现实世界制造业涉及以可变速度运行的机器,这增加了调度问题的复杂性.
研究的目的:
- 为了解决变速混合式流车间调度问题 (VSHFSP).
- 在绿色制造环境中,尽量减少制造板和总能耗.
主要方法:
- 为编码和解码提出了一种新的速度优化策略.
- 设计了一个建设性-破坏性搜索驱动人工蜂群 (CDSABC) 算法.
- 集成的特定运营商:以类似于理想解决方案的订单偏好技术 (TOPSIS),二进制比赛选择和全球更新.
主要成果:
- 该CDSABC算法在各种指标 (最佳,最差,平均,IGD指数标准偏差) 中表现出卓越的性能.
- 在80%的评估测试案例中表现优于其他算法.
- 有效地平衡使减耗和能源效率.
结论:
- 开发的CDSABC算法有效地解决了VSHFSP.
- 该方法通过优化能源消耗和生产时间,为绿色制造提供了可行的解决方案.
- 该方法为复杂的调度挑战提供了一个强大的框架.
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