Continuously Evolving Programs in Genetic Programming using Gradient Descent

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

@InProceedings{Smart:2004:aspgp,
  author =       "Will Smart and Mengjie Zhang",
  title =        "Continuously Evolving Programs in Genetic Programming
                 using Gradient Descent",
  booktitle =    "Proceedings of The Second Asian-Pacific Workshop on
                 Genetic Programming",
  year =         "2004",
  editor =       "R I Mckay and Sung-Bae Cho",
  pages =        "16pp",
  address =      "Cairns, Australia",
  month =        "6-7 " # dec,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.mcs.vuw.ac.nz/~mengjie/papers/will-meng-apwgp04.pdf",
  size =         "16 pages",
  abstract =     "gradient descent search in genetic programming for
                 continuously evolving genetic programs for object
                 classification problems. An inclusion factor is
                 introduced to each node in a genetic program and
                 gradient descent search is applied to the inclusion
                 factors. Three new on-zero operators and two new
                 continuous genetic operators are developed for
                 evolution. This approach is examined and compared with
                 a basic GP approach on three object classification
                 problems of varying difficulty. The results suggest
                 that the new approach can evolve genetic programs
                 continuously. The new method which uses the standard
                 genetic operators and gradient descent applied to the
                 inclusion factors substantially outperforms the basic
                 GP approach which uses the standard genetic operators
                 but does not use the gradient descent and inclusion
                 factors. However, the new method with the continuous
                 operators and the gradient descent on inclusion factors
                 decreases the performance on all the problems.",
  notes =        "http://sc.snu.ac.kr/~aspgp/aspgp04/programme.html",
}

Genetic Programming entries for Will Smart Mengjie Zhang

Citations