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  • 标题:Cluster Perturbation Simulated Annealing for Protein Folding Problem
  • 本地全文:下载
  • 作者:Juan Frausto-Solís ; Mishael Sánchez-Pérez ; Ernesto Liñan-García
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2013
  • 卷号:19
  • 期号:15
  • 页码:2207-2233
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:In this paper, an improved Simulated Annealing algorithm for Protein Folding Problem (PFP) is presented. This algorithm called Cluster Perturbation Simulated Annealing (CPSA) is based on a brand new scheme to generate new solutions using a cluster perturbation. The algorithm is divided into two phases: Cluster Perturbation Phase and the Reheat Phase. The first phase obtains a good solution in a small amount of time, and it is applied at very high temperatures. The second phase starts with a threshold temperature and reheats the system for a better exploration. CPSA reduces the execution time of the Simulated Annealing Algorithm without sacrificing quality to find a native structure in PFP in Ab-Initio approaches.
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