The P-Center Problem under Uncertainty

Facility location decisions play a prominent role in strategic planning of many firms, companies and governmental organizations. since in many real-world facility location problems, the data are subject to uncertainty, in this paper, we consider the p-center problem under uncertainty of demands. using bertsimas and sim approach, we develop a robust model of the problem as an integer programming model. furthermore, we develop a tabu search algorithm for solving the problem. finally we use design of experiments (doe) to adjust the parameters of tabu search algorithm. the numerical results of algorithm are presented accordingly.