Noisy Chaotic Neural Networks for Solving Combinatorial Optimization Problems
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
Static and dynamic channel assignment using neural networks
IEEE Journal on Selected Areas in Communications
Oscillatory and chaotic dynamics in neural networks under varying operating conditions
IEEE Transactions on Neural Networks
On chaotic simulated annealing
IEEE Transactions on Neural Networks
Neural Networks - 2005 Special issue: IJCNN 2005
Genetic algorithms with stochastic ranking for optimal channel assignment in mobile communications
CIS'04 Proceedings of the First international conference on Computational and Information Science
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Automatic call management in a cellular mobile network by fuzzy threshold logic
International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
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The channel assignment problem (CAP), the task to assign the required number of channels to each radio cell in such a way that interference is precluded and the frequency spectrum is used efficiently, is known to be an NP-complete optimization problem. In this paper, we solve CAP using a stochastic chaotic neural network that we proposed recently. The performance of stochastic chaotic simulated annealing (SCSA) is compared with other algorithms in several benchmark CAPs. Simulation results showed that this approach is able to further improve on results obtained by other algorithms.