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In this exploratory paper we consider a robust approach to decisional problems subject to uncertain data in which we have an additional knowledge on the strategy (algorithm) used to react to an unforeseen event or recover from a disruption. This is a typic ...
The airline scheduling is a very large and complex problem. Moreover, it is common that only a minority of the initial schedules are carried out as planned because of delays, airport closures or other unforeseen events. Thus, given an actual state of the r ...
We consider the recovery of an airline schedule after an unforeseen event, called {\em disruption}, that makes the planned schedule unfeasible. In particular we consider the aircraft recovery problem for a heterogeneous fleet of aircrafts, made of regular ...
In this exploratory paper we consider a robust approach to decisional problems subject to uncertain data in which we have an additional knowledge on the strategy (algorithm) used to react to an unforeseen event or recover from a disruption. This is a typic ...