Convergence analysis of gene expression programming based on maintaining elitist

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Xin Du and Lixin Ding and Chen Wang Xie and 
                 Xing Xu and Shenwen Wang and Li Chen2",
  title =        "Convergence analysis of gene expression programming
                 based on maintaining elitist",
  booktitle =    "GEC '09: Proceedings of the first ACM/SIGEVO Summit on
                 Genetic and Evolutionary Computation",
  year =         "2009",
  editor =       "Lihong Xu and Erik D. Goodman and Guoliang Chen and 
                 Darrell Whitley and Yongsheng Ding",
  bibsource =    "DBLP,",
  pages =        "823--826",
  address =      "Shanghai, China",
  organisation = "SigEvo",
  DOI =          "doi:10.1145/1543834.1543952",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        jun # " 12-14",
  isbn13 =       "978-1-60558-326-6",
  keywords =     "genetic algorithms, genetic programming, Poster, Gene
                 Expression Programming",
  abstract =     "This paper analyzes the convergence of Gene Expression
                 Programming based on maintaining elitist(ME-GEP).It is
                 proved that ME-GEP algorithm will converge to the
                 global optimal solution. The convergence speed of
                 ME-GEP algorithm is estimated by the properties of
                 transition matrices. The result hinges on four factors:
                 population size, minimal transposition, mutation and
                 selection probabilities.",
  notes =        "Also known as \cite{DBLP:conf/gecco/DuDXXWC09} part of

Genetic Programming entries for Xin Du Lixin Ding Chenwang Xie Xing Xu Shenwen Wang Li Chen2