An efficient neural network algorithm for the p-median problem

In this paper we present a neural network model and new formulation for the p-median problem. The effectiveness and efficiency of our algorithm under varying problem sizes are analyzed in comparison to conventional heuristic methods. The results for small-scale problems (less than 100 points) indicate that our implementation of algorithm is effective. Furthermore, we also have applied our algorithm to solve large-scale problems, demonstrating that a simple recurrent neural network, with an adapted formulation of the problem, can generate good solutions in a few seconds.