Metaheuristics in Flood Disaster Management and Risk Assessment

Vena Pearl Bongolan; Florencio C. Ballesteros, Jr.; Joyce Anne M. Banting; Aina Marie Q. Olaes; Charlymagne R. Aquino

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arXiv · 1306.6375

Metaheuristics in Flood Disaster Management and Risk Assessment

Vena Pearl Bongolan·Florencio C. Ballesteros, Jr.·Joyce Anne M. Banting·Aina Marie Q. Olaes·Charlymagne R. Aquino

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Abstract

A conceptual area is divided into units or barangays, each was allowed to evolve under a physical constraint. A risk assessment method was then used to identify the flood risk in each community using the following risk factors: the area's urbanized area ratio, literacy rate, mortality rate, poverty incidence, radio/TV penetration, and state of structural and non-structural measures. Vulnerability is defined as a weighted-sum of these components. A penalty was imposed for reduced vulnerability. Optimization comparison was done with MatLab's Genetic Algorithms and Simulated Annealing; results showed 'extreme' solutions and realistic designs, for simulated annealing and genetic algorithm, respectively.

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Vena Pearl Bongolan, Florencio C. Ballesteros, Jr., Joyce Anne M. Banting, Aina Marie Q. Olaes, Charlymagne R. Aquino. 2013-06-26. Metaheuristics in Flood Disaster Management and Risk Assessment. https://arxiv.org/abs/1306.6375

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