元启发式算法在洪水灾害管理与风险评估中的应用
人工智能
2013-06-28 v1
摘要
一个概念区域被划分为若干单元或描笼涯 (barangays)，每个单元均在物理约束下允许演化。随后采用一种风险评估方法，利用以下风险因子识别每个社区的洪水风险：区域城市化率、识字率、死亡率、贫困发生率、广播/电视覆盖率以及结构性和非结构性措施的状况。脆弱性被定义为这些组分的加权和。针对脆弱性的降低施加了惩罚。优化比较使用了 MatLab 的遗传算法和模拟退火算法；结果显示，模拟退火算法产生了‘极端’解，而遗传算法则产生了现实的设计方案。
引用
@article{arxiv.1306.6375,
title = {Metaheuristics in Flood Disaster Management and Risk Assessment},
author = {Vena Pearl Bongolan and Florencio C. Ballesteros, and Joyce Anne M. Banting and Aina Marie Q. Olaes and Charlymagne R. Aquino},
journal= {arXiv preprint arXiv:1306.6375},
year = {2013}
}
备注
UP ICE Centennial Conference Harmonizing Infrastructure with the Environment November 12, 2010 in Manila, Philippines 8th National conference on Information Technology Education (NCITE 2010) October 20-23, 2010 in Boracay, Philippines