Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Hara:2015:ieeeSMC,
  author =       "Akira Hara and Takuya Mototsuka and 
                 Jun-ichi Kushida and Tetsuyuki Takahama",
  booktitle =    "2015 IEEE International Conference on Systems, Man,
                 and Cybernetics (SMC)",
  title =        "Genetic Programming Using the Best Individuals of
                 Genealogies for Maintaining Population Diversity",
  year =         "2015",
  pages =        "2690--2696",
  abstract =     "Genetic Programming (GP) is an evolutionary
                 optimisation method for generating tree structural
                 programs. It is important to maintain the population
                 diversity for preventing GP search from falling into
                 local optima. For this purpose, we propose a new method
                 which introduces a concept of genealogy into the
                 population. We call the method Genetic Programming
                 using the Best Individuals of Genealogies (GPBIG).
                 Information on genealogy is assigned to each
                 individual, and the best-so-far individuals in
                 respective genealogies are preserved as the
                 genealogical elite individuals. The population is
                 reconstituted every generation by selecting the
                 individuals from the pool of the genealogical elite
                 individuals. In addition, the search property shifts
                 from global to local search gradually by extinguishing
                 unnecessary genealogies. We examined the effectiveness
                 of our method by comparing with the standard GP in
                 search performance in three kinds of benchmark
                 problems.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/SMC.2015.470",
  month =        oct,
  notes =        "Also known as \cite{7379602}",
}

Genetic Programming entries for Akira Hara Takuya Mototsuka Jun-ichi Kushida Tetsuyuki Takahama

Citations