Genetic Programming: A Review of Some Concerns

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Bhattacharya:2001:GPR,
  author =       "Maumita Bhattacharya and Baikunth Nath",
  title =        "Genetic Programming: {A} Review of Some Concerns",
  volume =       "2074",
  pages =        "1031--1040",
  year =         "2001",
  booktitle =    "Proceedings of International Conference Computational
                 Science Part~II - ICCS 2001",
  editor =       "V. N. Alexandrov and J. J. Dongarra and 
                 B. A. Juliano and R. S. Renner and C. J. Kenneth Tan",
  series =       "Lecture Notes in Computer Science",
  address =      "San Francisco, CA, USA",
  month =        may # " 28-30",
  publisher =    "Springer",
  note =         "Late Submissions",
  keywords =     "genetic algorithms, genetic programming, bloat",
  CODEN =        "LNCSD9",
  ISSN =         "0302-9743",
  isbn13 =       "978-3-540-42233-4",
  bibdate =      "Sat Feb 2 13:04:30 MST 2002",
  DOI =          "doi:10.1007/3-540-45718-6_109",
  acknowledgement = ack-nhfb,
  size =         "10 pages",
  abstract =     "Genetic Programming (GP) is gradually being accepted
                 as a promising variant of Genetic Algorithm (GA) that
                 evolves dynamic hierarchical structures, often
                 described as programs. In other words GP seemingly
                 holds the key to attain the goal of 'automated program
                 generation'. However one of the serious problems of GP
                 lies in the 'code growth' or 'size problem' that occurs
                 as the structures evolve, leading to excessive pressure
                 on system resources and unsatisfying convergence.
                 Several researchers have addressed the problem.
                 However, absence of a general framework and physical
                 constraints, viz, infinitely large resource
                 requirements have made it difficult to find any generic
                 explanation and hence solution to the problem. This
                 paper surveys the major research works in this
                 direction from a critical angle. Overview of a few
                 other major GP concerns is covered in brief. We
                 conclude with a general discussion on code growth and
                 other critical aspects of GP techniques, while
                 attempting to highlight on future research directions
                 to tackle such problems.",
}

Genetic Programming entries for Maumita Bhattacharya Baikunth Nath

Citations