混合群智能算法在模体识别中的应用

J4 ›› 2012, Vol. 30 ›› Issue (1): 56-59.

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Application of |Hybrid Swarm Intelligence Alogrithm on Finding Motif Problem

YANG Liu¹,LIU Tie-ying²,LI Xue-lian³

1.Department of Information Engineering,Jilin Business and Technology College,Changchun 130062,China;2.School of Information Technology|Changchun Vocational Institute of Technology|Changchun 130033,China;3.Jilin Taxation Information Center,Jilin Provincial Finance Department|Changchun 130021,China

Received:2011-09-01 Online:2012-01-29 Published:2012-03-20

Abstract

Abstract:

In order to avoid many Gibbs algorithm defects,improve the ability of problem solving,improvements the ACO (Ant Colony Optimization)：PSO (Particle Swarm Optimization) is made to optimize the parameters in the ACO.Pentium PC machine is the experiment platform,operating system is Windows 2003 Server,development tools is VB,the traveling salesman problem is tsimalated.Results show that the computing time of the algorithm can be reduced by new methods.It had great effects in practicality and rapid processing of motif discovary.

Key words: Gibbs algorithn, particle swarm optimization, finding motif

CLC Number:

TP313

YANG Liu, LIU Tie-Yang, LI Xue-Lian. Application of |Hybrid Swarm Intelligence Alogrithm on Finding Motif Problem[J].J4, 2012, 30(1): 56-59.

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Application of |Hybrid Swarm Intelligence Alogrithm on Finding Motif Problem

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