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

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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