Algorithm analysis and application based on chaotic neural network for cellular channel assignment

Authors:
Xiaojin Zhu;Yanchun Chen;Hesheng Zhang;Jialin Cao
Affiliations:
School of Mechatronics Engineering & Automation, Shanghai University, Shanghai, P.R. China;School of Mechatronics Engineering & Automation, Shanghai University, Shanghai, P.R. China;School of Mechatronics Engineering & Automation, Shanghai University, Shanghai, P.R. China;School of Mechatronics Engineering & Automation, Shanghai University, Shanghai, P.R. China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

Citing 3
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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.