Presentation 2007-11-19
Inversed Function Delayed Network for Traveling Salesman Problem
Takahiro SOTA, Yoshihiro HAYAKAWA, Koji NAKAJIMA,
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Abstract(in English) Many researchers have attempted to solve the combinatorial optimization problems by using neural networks which have high parallel processing ability. We have proposed the Inverse function Delayed model(ID model) which has tha negative resistance in its dynamics, and confirmed that it solved local minimum problems. In some problems typified by the N-Queen problem, we have shown that the ID model achieves 100% sucess rate when the output of the neuron reaches a final stationary state. However, for a Traveling Salesman Problem (TSP), it is not always possible to obtain optimal solutions at the stationary state. In this paper, we introduce higher-order connections to the ID Model. In case of the higher-order connections, we confirm the possibility that the only global minimum in TSP is stabilized by the negative resistance. Moreover, in the computer simulation of 4cities TSP, we show that the ID model can get optimal solutions at a rate of 100% when it reaches the stationary state.
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Keyword(in English) neural network / Traveling Salesman Problem / Inverse function Delayed model / higher-order connection / negative resistance
Paper # NC2007-64
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Committee NC
Conference Date 2007/11/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
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Title (in English) Inversed Function Delayed Network for Traveling Salesman Problem
Sub Title (in English)
Keyword(1) neural network
Keyword(2) Traveling Salesman Problem
Keyword(3) Inverse function Delayed model
Keyword(4) higher-order connection
Keyword(5) negative resistance
1st Author's Name Takahiro SOTA
1st Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Inistiute of Electrical Communication, Tohoku University()
2nd Author's Name Yoshihiro HAYAKAWA
2nd Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Inistiute of Electrical Communication, Tohoku University
3rd Author's Name Koji NAKAJIMA
3rd Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Inistiute of Electrical Communication, Tohoku University
Date 2007-11-19
Paper # NC2007-64
Volume (vol) vol.107
Number (no) 328
Page pp.pp.-
#Pages 6
Date of Issue