Study on Genetic Network Programming-based Controllers of Elevator Group Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@PhdThesis{JinZhou:thesis,
  author =       "Jin Zhou",
  title =        "Study on Genetic Network Programming-based Controllers
                 of Elevator Group Systems",
  school =       "Waseda University",
  year =         "2009",
  address =      "Japan",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, genetic
                 network programming, lifts",
  URL =          "http://jairo.nii.ac.jp/0069/00019152/en",
  URL =          "http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/3/Honbun-5081.pdf",
  URL =          "http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/1/Gaiyo-5081.pdf",
  URL =          "http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/34740/2/Shinsa-5081.pdf",
  size =         "120 pages",
  abstract =     "Artificial Intelligence (AI) has been proposed in the
                 middle of the 20th century, attempting to create
                 machines with intelligence such as reasoning,
                 knowledge, planning, learning, communication,
                 perception and the ability to move and manipulate the
                 objects that human beings have acquired during their
                 life. With the rapid development of computers in the
                 past several decades, AI achieved its greatest
                 successes in the 1990s and early 21st century
                 throughout a wide range of fields including medical
                 diagnosis,stock trading, robot control, law, scientific
                 discovery, etc. So far, many approaches in the field of
                 AI, such as evolutionary computation, Neural Networks
                 (NNs) and Fuzzy Logics (FL), have been proposed and
                 studied collectively by the emerging discipline of
                 computational intelligence.

                 Among them, there is evolutionary computation which
                 mainly comprises Genetic Algorithms (GA), Evolutionary
                 Programming (EP), Evolution Strategy(ES), Genetic
                 Programming(GP) and learning classifier systems. The
                 mechanisms of evolutionary computation were inspired by
                 biological evolution such as reproduction, mutation,
                 recombination, natural selection and survival of the
                 fittest. In this...pages more...",
}

Genetic Programming entries for Jin Zhou

Citations