双混沌神经网络及其在优化问题中的应用

Abstract

Abstract: Three existing chaotic neural network models and their optimization performances are analyzed,and then a novel chaotic neural network with double chaotic mechanism is proposed to solve the problem of the lower convergence rate and long search time in the existing method.It is different from the other modified chaotic neural networks in the aspect that it doesn’t enlarge the annealing time or enhance the chaos,but seeks the better initial value that can lead to the global optimized solution in limited steps by means of chaotic iterations.The new method can get better global optimization ability.The controlled numerical experiment with the travel salesman problems(TSP) and the function optimization prove that the proposed method has better convergence rate and shorter search time.

CLC Number:

TP183
N941

REN Hai-peng, CHEN Ling-juan, HAN Chong-zhao. Neural network with double chaotic mechanism and its application in optimization[J]. Journal of Systems Engineering and Electronics, 2009, 31(6): 1366-1371.

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Neural network with double chaotic mechanism and its application in optimization

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