Optimizing the placement of evacuation signs on road network with time and casualties in case of a tsunami 21st IEEE international WETICE conference : proceedings Nguyen, T.N.A. Chevaleyre, Y. /Zucker, Jean-Daniel In recent years, the number of people affected by natural disasters and in particular tsunamis has been increasing. Artificial Intelligence and Operation Research ap-proaches to simulate crowd evacuation and make cities ready for Tsunamis are critical interest. Given an extremely simple model of human behavior, i.e. a memory-less stochastic agent, we address the problem of optimizing the placement of Tsunami evacuation signs with respect to evacuation time and casualties. Moreover, we formalize this optimization problem as a Mixed Integer Linear Programming (MILP) problem and we run some experiments with a MILP solver on two scenarios of early warning evacuation for the road network of Nhatrang city in Vietnam. CPS IEEE Reddy, S. (ed.) Drira, K. (ed.) 2012 text https://www.documentation.ird.fr/hor/fdi:010079284 fdi:010079284 Nguyen T.N.A., Chevaleyre Y., Zucker Jean-Daniel. Optimizing the placement of evacuation signs on road network with time and casualties in case of a tsunami. In : Reddy S. (ed.), Drira K. (ed.), . 21st IEEE international WETICE conference : proceedings CPS ; IEEE, 2012, 394-396 International Workshop on Enabling Technologies : Infrastructure for Collaborative Enterprises, 21., Toulouse (FRA), 2012/06/25-27 EN VIET NAM