Investigation of shape filter for electromagnetic device by structural optimization with GP

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

@InProceedings{Ukita:2015:ICEMS,
  author =       "K. Ukita and K. Ishikawa and W. Kitagawa and 
                 T. Takeshita",
  booktitle =    "18th International Conference on Electrical Machines
                 and Systems (ICEMS)",
  title =        "Investigation of shape filter for electromagnetic
                 device by structural optimization with GP",
  year =         "2015",
  pages =        "1272--1277",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7385235",
  DOI =          "doi:10.1109/ICEMS.2015.7385235",
  abstract =     "Recently, one of the most important problems is energy
                 shortage. Therefore, it is required high efficiency
                 motors and high accuracy analysis tools. Shape
                 optimisation and topology optimisation are often used
                 for structural optimisation of motors. Authors simplify
                 optimal model by filters because it is often
                 complicated. However, filters cause deterioration of
                 electromagnetic characteristics of motors. In this
                 paper, shape complexity of analysis model is added in
                 fitness value in genetic programming (GP). Authors
                 investigate usefulness of filters which can search
                 optimal model while taking shape complexity into
                 account.",
  notes =        "Also known as \cite{7385235}",
}

Genetic Programming entries for Kosuke Ukita Kota Ishikawa Wataru Kitagawa Takaharu Takeshita

Citations