Metaheuristics in Flood Disaster Management and Risk Assessment

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

arXiv.org Artificial Intelligence 

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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