@inproceedings{afff328be8c84b11b6602a44a5ce3ea5,
title = "Hybrid nature-inspired computing methods for optimal electrical machine design",
keywords = "electrical machine design, Harmony Search (HS) algorithm, hybrid NIC methods, Nature-Inspired Computing (NIC) methods, Opposition-Based Learning (OBL), optimization, wind generator, electrical machine design, Harmony Search (HS) algorithm, hybrid NIC methods, Nature-Inspired Computing (NIC) methods, Opposition-Based Learning (OBL), optimization, wind generator, electrical machine design, Harmony Search (HS) algorithm, hybrid NIC methods, Nature-Inspired Computing (NIC) methods, Opposition-Based Learning (OBL), optimization, wind generator",
author = "X.Z. Gao and X. Wang and K. Zenger",
note = "VK: T40102",
year = "2013",
language = "English",
pages = "6",
editor = "Matti Vilkko",
booktitle = "Automaatio XX Seminaari, Palace, Helsinki, 22.5.2013",
publisher = "Suomen Automaatioseura ry",
}