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A comparative analysis of a genetic algorithm to the Cova-church heuristic for the purpose of risk and vulnerability assessment in emergency planning.

机译：对Cova-church启发式遗传算法的比较分析，目的是在应急计划中评估风险和脆弱性。

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To better examine the use of optimization in emergency planning this report investigates the determination of hazard zones within a geographic area. A hazard zone is an area corresponding to a worst-case evacuation scenario and is a potential vulnerability that should be addressed by risk mitigation strategies. The research compares two heuristic approaches to determining hazard zones based on population and road connectivity within a spatial network. The genetic algorithm and the Cova heuristic both have strengths and weaknesses as discussed throughout this report. The Cova heuristic performs better in sparsely connected networks with smaller hazard zones, while the genetic algorithm performs better in terms of time to obtain a solution and the quality of the solution when the network is dense and has larger hazard zones. Based on these results, the Cova heuristic is recommended for sparse rural networks.

机译：为了更好地研究在应急计划中优化的使用，本报告调查了地理区域内危险区域的确定。危险区是与最坏情况下的疏散情况相对应的区域，并且是应通过风险缓解策略解决的潜在漏洞。该研究比较了两种启发式方法，这些方法可基于空间网络中的人口和道路连通性来确定危险区域。整个报告中都讨论了遗传算法和Cova启发式方法的优点和缺点。 Cova启发式算法在具有较小危险区域的稀疏连接网络中表现更好，而在网络密集且具有较大危险区域的情况下，遗传算法在获得解决方案的时间和解决方案质量方面表现更好。根据这些结果，建议将Cova启发式方法用于稀疏的农村网络。

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作者
Stout, Jason Allen.;
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作者单位

University of Arkansas.;

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授予单位 University of Arkansas.;
学科 Engineering Industrial.
学位 M.S.
年度 2009
页码 150 p.
总页数 150
原文格式 PDF
正文语种 eng
中图分类
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入库时间 2022-08-17 11:38:18

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A comparative analysis of a genetic algorithm to the Cova-church heuristic for the purpose of risk and vulnerability assessment in emergency planning.

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