Predicting high-strength concrete parameters using weighted genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Hsing-Chih Tsai and Yong-Huang Lin",
  title =        "Predicting high-strength concrete parameters using
                 weighted genetic programming",
  journal =      "Engineering with Computers",
  year =         "2011",
  volume =       "27",
  number =       "4",
  pages =        "347--355",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, weighted
                 formula, prediction, high-strength concrete, weighted
                 genetic programming",
  ISSN =         "0177-0667",
  DOI =          "doi:10.1007/s00366-011-0208-z",
  size =         "9 pages",
  abstract =     "Genetic programming (GP) is an evolutionary
                 algorithm-based methodology that employs a binary tree
                 topology with optimised functional operators. This
                 study introduced weight coefficients to each GP linkage
                 in a tree in order to create a new weighted genetic
                 programming (WGP) approach. Two distinct advantages of
                 the proposed WGP include (1) balancing the influences
                 of the two front input branches and (2) incorporating
                 weights throughout generated formulae. Resulting
                 formulae contain a certain quantity of optimised
                 functions and weights. Genetic algorithms are employed
                 to accomplish WGP optimisation of function selection
                 and proper weighting tasks. Case studies presented
                 herein highlight a high-strength concrete reference
                 study. Results showed that the proposed WGP not only
                 improves GP in terms of introduced weight coefficients,
                 but also provides both accurate results and formula
  affiliation =  "Department of Construction Engineering, National
                 Taiwan University of Science and Technology, #43, Sec.
                 4, Keelung Rd, Taipei, 106 Taiwan, ROC",
  bibdate =      "2011-09-23",
  bibsource =    "DBLP,

Genetic Programming entries for Hsing-Chih Tsai Yong-Huang Lin