修改后的海优化算法与档案在城市配水网络中的应用:应对突发污染负载的后果
Qichun Wang1, Mingxiang Zhang2, Sama Abdolhosseinzadeh3,4
1Chongqing Vocational Institute of Engineering, Chongging, 402260, China.
Heliyon
|February 7, 2024
概括
这项研究优化了城市水网管理,使用多目标修改的海优化算法 (MOMSOA). 该方法有效地减少了污染消耗和反应性活动,用于实时后果管理.
科学领域:
- 环境工程环境工程
- 水资源管理 水资源管理
- 优化算法 优化算法
背景情况:
- 城市供水网络在管理污染事件的后果方面面临着挑战.
- 有效的后果管理对于公共卫生和基础设施完整性至关重要.
- 现有的优化方法可能缺乏实时决策的效率.
研究的目的:
- 优化城市供水网络的后果管理行动.
- 开发和评估一个多目标修改的海优化算法 (MOMSOA) 与档案.
- 尽量减少反应性活动 (成本) 和消耗的污染物质量.
主要方法:
- 使用EPANET模拟模型进行网络分析.
- 采用了多目标修改的海优化算法 (MOMSOA) 与档案.
- 定义了两个目标功能:尽量减少反应性活动和尽量减少消耗的污染物质量.
- 探索了用于排放污染物的关闭和水栓的使用.
主要成果:
- 没有管理,污染物消耗84.5公斤;有18项活动,消耗减少到59.8公斤.
- 拟议的MOMSOA方法在减少消耗的污染质量方面优于其他算法 (MOSOA,NSGA-II,MOPSO,MOSMA).
- 使用存档技术的MOMSOA显著减少了最佳活动的提取时间 (高达60%的速度更快).
结论:
- MOMSOA 方法可以在城市水网中实现高效的实时优化和后果管理.
- 在MOMSOA中存档容量是缩短交互曲线优化时间的关键.
- 该研究强调了MOMSOA在平衡降低成本和减轻污染方面的有效性.
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