Island Model GP with Immigrants Aging and Depth-Dependent Crossover

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Makoto Iwashita and Hitoshi Iba",
  title =        "Island Model GP with Immigrants Aging and
                 Depth-Dependent Crossover",
  booktitle =    "Proceedings of the 2002 Congress on Evolutionary
                 Computation CEC2002",
  editor =       "David B. Fogel and Mohamed A. El-Sharkawi and 
                 Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and 
                 Mark Shackleton",
  pages =        "267--272",
  year =         "2002",
  publisher =    "IEEE Press",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  organisation = "IEEE Neural Network Council (NNC), Institution of
                 Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  ISBN =         "0-7803-7278-6",
  month =        "12-17 " # may,
  notes =        "Dec 2012 ieee xplor says 1st author is Washita

                 CEC 2002 - A joint meeting of the IEEE, the
                 Evolutionary Programming Society, and the IEE. Held in
                 connection with the World Congress on Computational
                 Intelligence (WCCI 2002)",
  keywords =     "genetic algorithms, genetic programming, Deme,
                 Migration, aborigine, depth-dependent crossover,
                 genetic operator, global search strategies, immigrant
                 aging, island model GP, island model genetic
                 programming, local search strategies, evolutionary
                 computation, mathematical operators, search problems",
  DOI =          "doi:10.1109/CEC.2002.1006245",
  abstract =     "This paper proposes a new method for island model GP.
                 The proposed method applies a traditional genetic
                 operator to an aborigine and a depth-dependent
                 crossover to the immigrants according to their ages,
                 which show how long they survive in the island.This
                 method can provide both local and global search
                 strategies. The experimental results have shown that
                 our approach works effectively.",

Genetic Programming entries for Makoto Iwashita Hitoshi Iba