A combined approximate dynamic programming & simulated annealing optimization method to address community-level food security in the aftermath of disasters
A combined approximate dynamic programming & simulated annealing optimization method to address community-level food security in the aftermath of disasters
复制标题
组合近似动态规划
DOI：
10.22725/icasp13.096
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
H. Mahmoud
中科院分区：
文献类型：
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作者：
S. Nozhati;Yugandhar Sarkale;B. Ellingwood;E. Chong;H. Mahmoud
在极端自然灾害发生后，社区居民必须能够获得正常运作的食品零售商以维持食品安全。粮食安全取决于对关键基础设施系统的支持，包括电力、饮用水和交通。了解这种相互依赖的网络的响应和灾后恢复过程是有效应急管理计划的基石。在这项研究中，对不同关键设施（例如电力网络、供水网络、公路桥梁和食品零售商）之间的互连性进行了建模。该研究考虑了社区恢复过程中不确定性和复杂性的各种来源，以捕获空间分布式基础设施系统的随机行为。该研究利用近似动态规划（ADP）框架来分配资源以有效地恢复基础设施组件。拟议的 ADP 方案使我们能够在社区层面确定接近最优的恢复决策。此外，我们采用模拟退火（SA）算法来补充所提出的 ADP 框架并准确识别接近最优的动作。在下文中，我们使用美国加利福尼亚州吉尔罗伊市来说明所提出的方法在严重地震后的适用性。该方法可以有效实施，以确定切实可行的政策干预措施，以加速粮食系统的恢复，并减少粮食不安全对其他危害和社区的不利影响。
In the aftermath of an extreme natural hazard, community residents must have access to functioning food retailers to maintain food security. Food security is dependent on supporting critical infrastructure systems, including electricity, potable water, and transportation. An understanding of response of such interdependent networks and the process of post-disaster recovery is the cornerstone of an efficient emergency management plan. In this study, the interconnectedness among different critical facilities, such as electrical power networks, water networks, highway bridges, and food retailers is modeled. The study considers various sources of uncertainty and complexity in the recovery process of a community to capture the stochastic behavior of the spatially distributed infrastructure systems. The study utilizes an approximate dynamic programming (ADP) framework to allocate resources to restore infrastructure components efficiently. The proposed ADP scheme enables us to identify near-optimal restoration decisions at the community level. Furthermore, we employ a simulated annealing (SA) algorithm to complement the proposed ADP framework and to identify near-optimal actions accurately. In the sequel, we use the City of Gilroy, California, USA to illustrate the applicability of the proposed methodology following a severe earthquake. The approach can be implemented efficiently to identify practical policy interventions to hasten recovery of food systems and to reduce adverse food-insecurity impacts for other hazards and communities.
通过模拟优化和推广解决网络级灾后恢复的马尔可夫决策流程
DOI：
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发表时间：
2019
期刊：
2018 IEEE 14th International Conference on Automation Science and Engineering (CASE
影响因子：
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作者：
Sarkale, Y.;Nozhati, S.;Chong, E. K.;Ellingwood, B. R.;Mahmoud, H.
通讯作者：
Mahmoud, H.
DOI：
10.1061/(asce)st.1943-541x.0002019
发表时间：
2018-05
期刊：
Journal of structural engineering (New York, N.Y.)
影响因子：
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作者：
Masoomi H;van de Lindt JW;Peek L
通讯作者：
Peek L