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Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings

机译:基于混合遗传算法的估算建筑物结构洪涝损失方法

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摘要

Occurrence of extreme natural events raises the need for a quick and accurate estimation of losses on the insured residential property in order to support timely recovery of the area. Although various models are now available to estimate the amount of loss on buildings, there is a lack of models providing a sufficient level of detail and accuracy that can be used for insurance purposes. In this study, a hybrid genetic algorithm-based model for flood loss estimation on the structures of buildings is presented. The proposed model combines the ordinary least squares method, a genetic algorithm, and the bill of costs method, which offers a good balance of maximum simplicity on the one hand and the accuracy of calculation on the other hand. The model considers the geometric characteristics (dimensions and shape) of rooms and is enabled to work with various types of materials and structures, as well as a variable depth of flooding. The results achieved show that in quick loss estimation, the model provides highly accurate results which meet the requirements for its use for the purposes of settlement of real insurance claims by insurance companies. The article outlines the potential automated connection of the model to insurance companies’ information system in order to create a simple building information model (BIM) of the insured property (building’s structures).
机译:极端自然事件的发生提高了需要快速准确地估算被保险人住宅物业的损失,以支持及时恢复该地区。虽然现在可以使用各种模型来估计建筑物的损失量,但缺乏模型提供了足够的细节和准确性,可用于保险目的。在本研究中,提出了一种基于混合遗传算法的洪水损失估计模型,建筑物结构的结构。该模型结合了普通的最小二乘法,遗传算法和成本清单方法,它在一方面提供了最大简单的良好平衡,另一方面提供了计算的准确性。该模型考虑了房间的几何特性(尺寸和形状),并使能使用各种类型的材料和结构,以及可变的洪水深度。达到的结果表明,在快速损失估计中,该模型提供了高度准确的结果,符合保险公司解决实际保险索赔的用途的要求。该文章概述了模型对保险公司信息系统的潜在自动化连接,以创建被保险业物业的简单建筑信息模型(Builds的结构)。

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