Robust
Goerigk et al. \cite{GoerigkEtal2015} consider endangered urban evacuation by the help of buses. Following the concepts of adjustable and recoverable robustness (refer to \cite{LiebchenEtsl2009}) they propose a bi-objective two-stage robust optimization model that captures uncertain number of evacuees, travel times, and the number of buses by allowing partial fulfillment of scenario before complete disclosure. having minimization of the evacuation time as a first objective, the model tries to minimize the difference between the first and second-stage solutions as the second objective. Incorporating \(\epsilon\)-constraint method with an iterative procedure, the Pareto front is obtained. With bus capacity of 80 and evacuation of 1750 people, following a real case in Kaiserslautern (Germany) , the proposed procedure is tested.