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Application with a hybrid ant colony optimisation in motif detecting problem

  • 【作者】Zhang, Yi,Zhang, Meng,Pei, Zhili
  • 【作者单位】1 Department of Computer Science, Jilin Business and Technology College, Changchun 130062, China; Military Simulation Technology Institute, Air Force Aviation University, Changchun 130022, China.; 2 College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China.; 3 College of Computer Science and Technology, Inner Mongolia University for the Nationalities, Tongliao 028000, China; College of Mathematics, Jilin University, Changchun 130012, China
  • 【年份】2012
  • 【卷号】Vol.44 No.2
  • 【页码】88-93
  • 【ISSN】0952-8091
  • 【关键词】COMPUTING AND MATHEMATICS Computing Science, Applications and Software SCIENCE, ENGINEERING AND TECHNOLOGY General Engineering Materials and Manufacturing Simulation and Modelling 
  • 【摘要】 In this paper, a hybrid optimisation algorithm for the motif detection problem of biological sequences is presented. Our method is improved Gibbs sampling method by employing an improved ant colony optimisation (ACO) algorithm. The goal of our method...
  • 【文献类型】 期刊
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