Prioritizing the Components of Vulnerability in a Genetic Algorithms Minimization of Flood Risk
Computational Engineering, Finance, and Science
2015-02-02 v1 Computers and Society
Abstract
We compare two prioritization schemes for the components of flooding vulnerability: urbanized area ration, literacy rate, mortality rate, poverty, radio/tv penetration, non-structural measures and structural measure. We prioritize the components, giving each a weight. We then express the vulnerability function as a weighted sum of its components. This weighted sum serves as the fitness function in a genetic algorithm, which comes up with the optimal design for a flood-resistant city.
Keywords
Cite
@article{arxiv.1501.07671,
title = {Prioritizing the Components of Vulnerability in a Genetic Algorithms Minimization of Flood Risk},
author = {Vena Pearl Boñgolan and Karessa Alexandra O. Baritua and Marie Junne Santos},
journal= {arXiv preprint arXiv:1501.07671},
year = {2015}
}
Comments
eight pages in pdf, with figures included