Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications
2013
Session Number:C1L-C
Session:
Number:366
Performance Relationship between the Chaotic Routing Strategy and the Complex Networks
Takayuki Kimura, Tohru Ikeguchi,
pp.366-369
Publication Date:
Online ISSN:2188-5079
[1] P. Echenique, J. Gomez-Gardens, and Y.Moreno. Improved routing strategies for internet traffic delivery. Physical Review E, 70(056105):325-331, 2004.
[2] M.-B. Hu, W.-X. Wang, R. Jiang, Q.-S. Wu, and Y.-H. Wu. Phase transition and hysteresis in scale-free network traffic. Physical Review E, 75:036102, 2007.
[3] W.-X. Wang, B.-H. Wang, C.-Y. Yin, Y.-B. Xie, and T. Zhou. Traffic dynamics based on local routing protocol on a scale-free network. Physical Review E, 73:026111, 2006.
[4] T. Horiguchi and S. Ishioka. Routing control of packet flow using a neural network. Physica A, 297:521-531, 2001.
[5] T. Kimura, H. Nakajima, and T. Ikeguchi. A packet routing method for complex networks by a stochastic neural network. Physica A, 376:658-672, 2007.
[6] T. Kimura and T. Ikeguchi. A new algorithm for packet routing problems using chaotic neurodynamics and its surrogate analysis. Neural Computation and Applications, 16:519-526, 2007.
[7] T. Kimura and T. Ikeguchi. An optimum strategy for dynamic and stochastic packet routing problems by chaotic neurodynamics. Integrated Computer-Aided Engineering, 14(4):307-322, 2007.
[8] T. Kimura and T. Ikeguchi. Communication in the computer networks with chaotic neurodynamics. Springer: Complexity, Applications of Nonlinear Dynamics, pages 417-420, 2009.
[9] T. Kimura and T. Ikeguchi. Chaotic routing strategy with load-balanced effects for communication networks. Proceedings of the International Joint Conference on Neural Networks, pages 1643-1650, 2011.
[10] T. Kimura, T. Hiraguri, and T. Ikeguchi. An effective routing algorithm with chaotic neurodynamics for optimizing communication networks. American Journal of Operations Research, pages 348-356, 2012.
[11] M. Hasegawa, T. Ikeguchi, and K. Aihara. Combination of chaotic neurodynamics with the 2-opt algorithm to solve traveling salesman problems. Phys. Rev. Lett., 79(12):2344-2347, Sep. 1997.
[12] M. Hasegawa, T. Ikeguchi, and K. Aihara. Exponential and chaotic neurodynamical tabu searches for quadratic assignment problems. Control and Cybernetics, 29(3):773-788, 2000.
[13] T. Matsuura and T. Ikeguchi. Chaotic search for traveling salesman problems by using 2-opt and Oropt algorithms. Lecture Notes in Computer Science, 5164:587-596, 2008.
[14] T. Hoshino, T. Kimura, and T. Ikeguchi. A metaheuristic algorithm for solving vehicle rouging problems with soft time windows by chaotic neurodynamics. Transactions of IEICE, J90-A(5):431-441, 2007.
[15] T. Hoshino, T. Kimura, and T. Ikeguchi. A new diversification method to solve vehicle routing problems using chaotic dynamics. Springer: Complexity, Applications of Nonlinear Dynamics, pages 409-412, 2009.
[16] K. Aihara, T. Tanabe, and M. Toyoda. Chaotic neural network. Physics Letters A, 144:333-340, 1990.
[17] B. J. Kim P. Holme. Growing scale-free networks with tunable clustering. Physical Review E, 65:026107, 2002.
[18] P. Echenique, J. Gomez-Gardens, and Y.Moreno. Dynamics of jamming transitions in complex networks. Europhysics Letters, 71(2):325-331, 2005.
[19] A. L. Barabási and R. Albert. Emergence of scaling in random networks. Science, 286:509-512, 1999.