Immune Genetic Programming and it's application in bioprocess modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Yanling Wu and Yuanyuan Zhang2 and Zhongliang Zhu",
  title =        "Immune Genetic Programming and it's application in
                 bioprocess modeling",
  booktitle =    "32nd Chinese Control Conference (CCC 2013)",
  year =         "2013",
  month =        "26-28 " # jul,
  pages =        "8037--8041",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  abstract =     "The canonical form of Genetic Programming (GP) relies
                 almost exclusively on the crossover operator for
                 exploring the solution space. But the crossover
                 operator makes individuals change randomly and
                 indirectly during the whole process, it not only give
                 the individuals the evolutionary chance but also cause
                 certain degeneracy. Here, based on the analysis of the
                 cross-operating characteristics and the study of
                 individual structure, a new form of vaccine and a new
                 autonomous obtaining method is proposed. The concept of
                 immunity is integrated into the GP and a novel
                 algorithm-immune GP is proposed. Experiments show that
                 the result obtained by the proposed algorithm restrains
                 the degenerative phenomena during evolution, so as to
                 improve the algorithm efficiency.",
  notes =        "In chinese.

                 Also known as \cite{6640856}",

Genetic Programming entries for Yanling Wu Yuanyuan Zhang2 Zhongliang Zhu