Immune Genetic Programming Based on Register-Stack Structure

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Zhang:2007:cec,
  author =       "Zeming Zhang and Wenjian Luo and Xufa Wang",
  title =        "Immune Genetic Programming Based on Register-Stack
                 Structure",
  booktitle =    "2007 IEEE Congress on Evolutionary Computation",
  year =         "2007",
  editor =       "Dipti Srinivasan and Lipo Wang",
  pages =        "3751--3758",
  address =      "Singapore",
  month =        "25-28 " # sep,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "1-4244-1340-0",
  file =         "1032.pdf",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2007.4424959",
  abstract =     "Inspired by biological immune principles, a novel
                 Immune Genetic Programming based on Register-Stack
                 structure (rs-IGP) is proposed in this paper. In
                 rs-IGP, an antigen represents a problem to be solved,
                 and an antibody represents a candidate solution. A
                 flexible and efficient antibody representation based on
                 register-stack structure is designed for rs-IGP. Three
                 populations are adopted in rs-IGP, i.e. the common
                 population, the elitist population and the self set.
                 The immune genetic operators are also developed,
                 including clone operator, recombination operator,
                 mutation operator, hypermutation operator, crossover
                 operator and negative selection operator. The
                 experimental results demonstrate that rs-IGP has better
                 performance.",
  notes =        "CEC 2007 - A joint meeting of the IEEE, the EPS, and
                 the IET.

                 IEEE Catalog Number: 07TH8963C",
}

Genetic Programming entries for Zeming Zhang Wenjian Luo Xufa Wang

Citations