Examining the Diversity Property of Semantic Similarity based Crossover

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

  author =       "Tuan Anh Pham and Quang Uy Nguyen and 
                 Xuan Hoai Nguyen and Michael O'Neill",
  title =        "Examining the Diversity Property of Semantic
                 Similarity based Crossover",
  booktitle =    "Proceedings of the 16th European Conference on Genetic
                 Programming, EuroGP 2013",
  year =         "2013",
  month =        "3-5 " # apr,
  editor =       "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and 
                 A. Sima Uyar and Bin Hu",
  series =       "LNCS",
  volume =       "7831",
  publisher =    "Springer Verlag",
  address =      "Vienna, Austria",
  pages =        "265--276",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-37206-3",
  DOI =          "doi:10.1007/978-3-642-37207-0_23",
  abstract =     "Population diversity has long been seen as a crucial
                 factor for the efficiency of Evolutionary Algorithms in
                 general, and Genetic Programming (GP) in particular.
                 This paper experimentally investigates the diversity
                 property of a recently proposed crossover, Semantic
                 Similarity based Crossover (SSC). The results show that
                 while SSC helps to improve locality, it leads to the
                 loss of diversity of the population. This could be the
                 reason that sometimes SSC fails in achieving superior
                 performance when compared to standard subtree
                 crossover. Consequently, we introduce an approach to
                 maintain the population diversity by combining SSC with
                 a multi-population approach. The experimental results
                 show that this combination maintains better population
                 diversity, leading to further improvement in GP
                 performance. Further SSC parameters tuning to promote
                 diversity gains even better results.",
  notes =        "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
                 conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
                 and EvoApplications2013",

Genetic Programming entries for Pham Tuan Anh Quang Uy Nguyen Nguyen Xuan Hoai Michael O'Neill