Dispatching medical supplies in emergency events via uncertain programming

This paper employs uncertain programming to deal with a problem of dispatching medical supplies in emergency events. As we know, the highly unpredictable nature of emergencies and the severity of the accident may lead to uncertainty both in demands and running times. Under this condition, the demands and running times are supposed to be uncertain variables. Within the framework of uncertain programming, two mathematical models are constructed. In addition, some properties of the models are also discussed. Moreover, a hybrid intelligent algorithm for solving the proposed models in general cases is designed. Finally, some numerical examples are also presented to illustrate the optimization ideas and the effectiveness of the proposed algorithm.