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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