Presentation 2009-05-15
Parameter Adjusting of the Chaotic Search Method to Multiple Sequence Alignment
Takafumi MATSUURA, Tohru IKEGUCHI,
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Abstract(in English) An algorithm for solving combinatorial optimization problems by chaotic neurodynamics has already been proposed and exhibited high performance for solving TSP, QAP, and MEP (Motif Extraction Problem). Although we have already clarified that its high searching ability depends on a statistical property of refractory effects in a chaotic neuron, it is difficult to find optimal parameters of the refractory effect. To find the parameters easily, we have to clarify how much the refractory effect affects for the searching process. In this report, we analyze the refractory effect from the view point of influence of the refractory effect. In addition, we propose a parameter adjusting method to control influence of the refractory for MEP. As a result, we could find the motifs for several values of parameters.
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Keyword(in English) Combinatorial Optimization Problem / Chaotic Neural Network / Parameter Adjusting Method
Paper # NLP2009-10
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Conference Information
Committee NLP
Conference Date 2009/5/8(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Parameter Adjusting of the Chaotic Search Method to Multiple Sequence Alignment
Sub Title (in English)
Keyword(1) Combinatorial Optimization Problem
Keyword(2) Chaotic Neural Network
Keyword(3) Parameter Adjusting Method
1st Author's Name Takafumi MATSUURA
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University()
2nd Author's Name Tohru IKEGUCHI
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University
Date 2009-05-15
Paper # NLP2009-10
Volume (vol) vol.109
Number (no) 30
Page pp.pp.-
#Pages 6
Date of Issue