Investigation of shape filter for electromagnetic device by structural optimization with GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @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