Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES 21st IEEE international WETICE conference : proceedings International Workshop on Enabling Technologies : Infrastructure for Collaborative Enterprises 394-396 VIET NAM NHATRANG 2012 2012/06/25-27 Los Alamitos (USA) ; Washington (USA) ; Tokyo CPS ; IEEE fdi:010079284 ENG ISI:000309208300077 10.1109/WETICE.2012.72 https://www.documentation.ird.fr/hor/fdi:010079284 https://www.documentation.ird.fr/intranet/publi/depot/2020-10-22/010079284.pdf Horizon (IRD) 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. 122 ; 066