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Integrating Complex Adaptive System Simulation and Evolutionary Computation to Support Water Infrastructure Threat Management

机译:集成复杂的自适应系统仿真和进化计算以支持水基础设施威胁管理

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Threat management for water distribution infrastructure systems should develop plans for responding to hazards, including the presence of contaminants in the system and failure of physical components. In the event that the delivery of clean and reliable drinking water is threatened, the complex interactions among managers' operational decisions, consumers' water consumption choices, and the hydraulics and contaminant transport in the water distribution system will influence public health consequences. A Complex Adaptive System (CAS) approach is developed here to couple process models of the pipe network with agent-based models of consumers and public officials. Development of threat management strategies, which would prescribe a set of actions to mitigate the situation, is enabled through a simulation-optimization framework that couples heuristic search methods with the CAS model. The framework is demonstrated for an illustrative case study to identify efficient threat management strategies to achieve public health protection and maintain acceptable levels of service.
机译:供水基础设施系统的威胁管理应制​​定应对危害的计划,包括系统中污染物的存在和物理组件的故障。如果清洁和可靠的饮用水的供应受到威胁,管理人员的运营决策,消费者的用水选择以及水分配系统中的液压和污染物输送之间的复杂相互作用将影响公共卫生后果。这里开发了一种复杂的自适应系统(CAS)方法,以将管网的过程模型与基于代理的消费者和公职人员模型耦合在一起。通过将启发式搜索方法与CAS模型相结合的模拟优化框架,可以制定威胁管理策略,从而制定一套缓解情况的措施。对该框架进行了说明性案例研究,以识别有效的威胁管理策略,以实现公共卫生保护并维持可接受的服务水平。

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