@inproceedings{59105071c70d4dd887c93be291438500,
title = "MADS using cost patterns analysis for the optimal design of electric machine",
abstract = "Optimal design of electrical machines has many sub-optimal peaks and requires longer computation time. In order to solve this problem, this paper proposes a new Mesh Adaptive Direct Search (MADS) algorithm with Cost Patterns Analysis (CPA) for optimal design. The validity of the proposed algorithm is evaluated by benchmark function. In addition, it is applied to the optimal design of a 260kW Induction Motor (IM) to maximize the torque production via slip-frequency analysis.",
keywords = "Cost patterns Analysis, Finite Element Method, Induction motor, Optimal design, Slip-frequency",
author = "Byoungsoo Ko and Dongsu Lee and Jung, \{Sang Yong\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 ; Conference date: 13-11-2016 Through 16-11-2016",
year = "2017",
month = jan,
day = "12",
doi = "10.1109/CEFC.2016.7816307",
language = "English",
series = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
}