Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Heuristic solution of the multisource Weber problem as a p-median problem
Operations Research Letters
Design and analysis of maximum Hopfield networks
IEEE Transactions on Neural Networks
A neural model for the p-median problem
Computers and Operations Research
A recurrent neural network model for the p-hub problem
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Expert Systems with Applications: An International Journal
Applying bio-inspired techniques to the p-median problem
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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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.