Abstract
A new chaotic simulated annealing mechanism with transient chaotic neural network is proposed as an optimization algorithm, called Two-phase annealing method in transient chaotic neural network model (TPA-TCNN), and applied for the channel assignment problem. We use Kunz’s benchmark test, a 25 cells channel assignment problem, to demonstrate TPA-TCNN algorithm. Comparing with the Chen and Aihara’s transient chaotic neural network model and the chaotic neural network model generated by injecting chaotic noise into the Hopfield neural network (DCN-HNN), the TPA-TCNN model has a higher searching ability and lower computing time in searching the global minimum.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhu, X., Chen, Y., Zhang, H., Cao, J. (2006). Algorithm Analysis and Application Based on Chaotic Neural Network for Cellular Channel Assignment. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_120
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DOI: https://doi.org/10.1007/11816157_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
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