A conceptual evolutionary aseismic decision support framework for hospitals

• 作 者: Yufeng Hu Gary F. Dargush Xiaoyun Shao
• 机 构: Department of Civil and Construction Engineering,Western Michigan University,Kalamazoo,Department of
• 出 处: Earthquake Engineering and Engineering Vibration
• 发表日期: 2012年04期
• 关键词: evolutionary uncertain conceptual fitness completed utilizing organizational inf

In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific hospital.The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.

In this paper, aconceptual evolutionary framework for aseismic decision support for hospital case attempts to integrate a range of engineering and sociotechnical models is presented. A case study is completed to demonstrate how the the framework may apply to a specific hospital The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertainty or fixed environments. The framework also qualitatively identifies some of the characteristic behavior of the critical care organization. Thus, by utilizing the proposed framework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.