Program Simplification in Genetic Programming for Object Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  title =        "Program Simplification in Genetic Programming for
                 Object Classification",
  author =       "Mengjie Zhang and Yun Zhang and Will Smart",
  year =         "2005",
  booktitle =    "Knowledge-Based Intelligent Information and
                 Engineering Systems, 9th International Conference, KES
                 2005, Proceedings, Part III",
  editor =       "Rajiv Khosla and Robert J. Howlett and 
                 Lakhmi C. Jain",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3683",
  pages =        "988--996",
  address =      "Melbourne, Australia",
  month =        sep # " 14-16",
  bibdate =      "2005-09-05",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-28896-1",
  DOI =          "doi:10.1007/11553939_139",
  size =         "9 page",
  abstract =     "This paper describes a program simplification approach
                 in genetic programming (GP) to the use of simple
                 algebraic techniques, prime numbers and hashing
                 techniques for object classification problems. Rather
                 than manually simplifying genetic programs after
                 evolution for interpretation purpose only, this
                 approach automatically simplifies genetic programs
                 during the evolutionary process. This approach is
                 examined on four object classification problems of
                 increasing difficulty. The results suggest that the new
                 simplification approach is more efficient and more
                 effective than the basic GP approach without

Genetic Programming entries for Mengjie Zhang Yun Zhang Will Smart