Learning General Solutions through Multiple Evaluations during Development

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Tuan Hao Hoang and R. I. (Bob) McKay and 
                 Daryl Essam and Nguyen Xuan Hoai",
  title =        "Learning General Solutions through Multiple
                 Evaluations during Development",
  booktitle =    "Proceedings of the 8th International Conference
                 Evolvable Systems: From Biology to Hardware, ICES
  year =         "2008",
  editor =       "Gregory Hornby and Luk{\'a}s Sekanina and 
                 Pauline C. Haddow",
  series =       "Lecture Notes in Computer Science",
  volume =       "5216",
  pages =        "201--212",
  address =      "Prague, Czech Republic",
  month =        sep # " 21-24",
  publisher =    "Springer",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, Developmental
                 Genetic Programming, Hyper-heuristics, Generalisation
                 Overfitting, Parsimony",
  isbn13 =       "978-3-540-85856-0",
  DOI =          "doi:10.1007/978-3-540-85857-7_18",
  abstract =     "In this paper, we investigate whether performing
                 multiple evaluations during development, a technique we
                 call Evolutionary Developmental Evaluation (EDE), could
                 help developmental Genetic Programming (GP) evolve
                 general solutions, solving not only the original
                 (training) problem, but also unseen similar problems
                 (with higher degrees of complexity). The hypothesis is
                 tested on two families of regression problems, and the
                 experimental results support the hypothesis.",

Genetic Programming entries for Tuan-Hao Hoang R I (Bob) McKay Daryl Essam Nguyen Xuan Hoai