Presentation 2005-05-17
Discrete ID model for optimization problems
Hirokazu NAGASHIMA, Yoshihiro HAYAKAWA, Koji NAKAJIMA,
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Abstract(in English) ID model is expected to solve combinatorial optimization problems because this model can have oscillation property and the negative resistance region. But the ID model requires long time to solve these problems because of continuous time model. In this paper, we propose the discrete time ID model and discuss TSP (Traveling Salesperson Problem) and FPS (Fast Packet Switching) by the dynamic solutions.
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Keyword(in English) negative resistance region / inverse function / delay / discrete time / combinatorial optimization problem / dynamic solutions
Paper # NLP2005-6
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Conference Information
Committee NLP
Conference Date 2005/5/10(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Discrete ID model for optimization problems
Sub Title (in English)
Keyword(1) negative resistance region
Keyword(2) inverse function
Keyword(3) delay
Keyword(4) discrete time
Keyword(5) combinatorial optimization problem
Keyword(6) dynamic solutions
1st Author's Name Hirokazu NAGASHIMA
1st Author's Affiliation Laboratory for Brainware/Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Yoshihiro HAYAKAWA
2nd Author's Affiliation Laboratory for Brainware/Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University
3rd Author's Name Koji NAKAJIMA
3rd Author's Affiliation Laboratory for Brainware/Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University
Date 2005-05-17
Paper # NLP2005-6
Volume (vol) vol.105
Number (no) 49
Page pp.pp.-
#Pages 6
Date of Issue