A Hybrid Intelligent Algorithm for Emergency Facility Location Problem

To build an emergency network, selecting location is the most important step. It is no longer a singleobjective problem. Both cost and e‐ciency should be taken into account. In this research, a multiobjective location model was established. Under the uncertain situation, a hybrid intelligent algorithm was developed to balance the two objects. This algorithm takes advantage of fuzzy random simulation, neural network and Elite Non-dominated Sorting Genetic Algorithms. Then it helped a power grid company select seven reasonable solutions to locate emergency facility. Therefore, a conclusion can be drawn that this model and algorithm is feasible and progressive for emergency facility location problem.

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