Evacuation and disaster management is of the essence for any advanced society. Ensuring the welfare and well-being of the citizens even in times of immense distress is of utmost importance. Especially in coastal areas where tropical storms and hurricanes pose a threat on a yearly basis, evacuation planning and management is vital. However, modern metropolitan city evacuations prove to be large-scale optimization problems which cannot be tackled in a timely manner with the computational power available. We propose a clustering technique to divide the problem into smaller and easier subproblems and present numerical results that prove our success. © Springer Science+Business Media New York 2013.
CITATION STYLE
Vogiatzis, C., Walteros, J. L., & Pardalos, P. M. (2013). Evacuation through clustering techniques. In Springer Proceedings in Mathematics and Statistics (Vol. 32, pp. 185–198). Springer New York LLC. https://doi.org/10.1007/978-1-4614-5574-5_10
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