在场外核紧急情况下,公共污染清除位置和分配问题的优化方法基于改进的NSGA-II改进的NSGA-II
Fang Ruan1, Chunhua Chen2, Chenze He1
1Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China; University of Science and Technology of China, Hefei 230026, China.
Journal of hazardous materials
|February 18, 2025
概括
这项研究优化了公共净化站的安置和核紧急情况的人员配置. 它最大限度地减少了响应时间和成本,提高了公共安全和在场外核事件期间的净化效率.
科学领域:
- 核应急响应应对核应急情况的反应
- 公共卫生准备 公共卫生准备
- 运营研究 运营研究
背景情况:
- 在场外核突发事件期间,除污染对公共安全至关重要.
- 目前对公共污染清除位置和分配问题 (PDLAPs) 的研究有限.
- 以前的模型往往忽略了除污染反应时间的服务时间组成部分.
研究的目的:
- 为PDLAP开发一个多目标优化模型.
- 尽量减少最大的净化时间和经济成本 (运输和建设).
- 在应急响应规划中解决优化目标的冲突性质.
主要方法:
- 为PDLAP制定了一个多目标优化模型.
- 开发了一种改进的非主导排序遗传算法-II (NSGA-II),以找到帕雷托最佳解决方案.
- 将模型应用于江核电站假设的核泄漏场景.
- 将改进的NSGA-II与其他多目标优化算法进行比较.
主要成果:
- 与其他算法相比,改进的NSGA-II显示出优越的多样性和融合.
- 该模型有效地平衡了竞争的目标,即尽量减少时间和成本.
- 托普西斯方法帮助决策者根据具体优先事项选择最佳的分配计划.
结论:
- 建议的优化模型和改进的NSGA-II对PDLAP有效.
- 该方法提高了核紧急情况期间的公共安全和现场脱污效率.
- 这种方法为核应急计划和资源分配提供了有价值的工具.
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