基于粒子群优化算法的调度优化,用于远程天然气管道的应急管理
Huichao Guo1,2, Runhua Huang2,3, Shuqin Cheng2
1School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei, China.
PloS one
|February 10, 2025
概括
本研究引入了一种新的算法,用于优化天然气管道的应急调度,大大减少总调度时间,与传统方法相比,提高了融合速度.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 运营研究 运营研究
背景情况:
- 长途天然气管道的紧急管理面临复杂的调度挑战.
- 现有的优化方法可能会与高维问题和局部优化作斗争.
研究的目的:
- 为天然气管道紧急情况管理开发有效的调度优化模型.
- 为了尽量减少在紧急情况下所需的总安排时间.
主要方法:
- 制定了最低总调度时间的目标函数,并定义了相关约束.
- 提出了一个利用粒子群优化 (PSO) 算法的调度优化模型.
- 采用了邻近自适应受约束的分数粒子群集优化 (NACFPSO) 算法来解决复杂性和局部优化.
主要成果:
- NACFPSO在趋同速度和调度时间方面表现优于传统公共服务机构.
- NACFPSO实现了81.17次代的平均融合速度,平均调度时间为200.00分钟.
- 随着管道复杂度的增加,NACFPSO保持了其优势,特别是在减少调度时间方面.
结论:
- NACFPSO算法有效地优化了天然气管道紧急管理中的调度.
- 在复杂的调度场景中,NACFPSO在效率和速度上都提供了显著的改进.
- 拟议的方法增强了在紧急响应情况下的整体优化效果.
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