@inproceedings{b03bacdcd3cc40bead29c4e8aa39296a,
title = "Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters",
abstract = "This paper applies a fitted genetic algorithm (GA) to the optimal design of transverse flux machine (TFM). The main goal is to provide a tool for the optimal design of TFM that is an easy to use. The GA optimizes the analytic basic design of two TFM topologies: the C-core and the U-core. First, the GA was designed with real parameters. A further, objective of the fitted GA is minimization of the computation time, related to the number of individuals, the number of generations and the types of operators and their specific parameters.",
author = "Alin Argeseanu and Ewen Ritchie and Leban, {Krisztina Monika}",
year = "2012",
doi = "10.1109/OPTIM.2012.6231799",
language = "English",
isbn = "978-1-4673-1650-7",
series = "Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings",
publisher = "IEEE Press",
pages = "671--678",
booktitle = "Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment",
note = "13th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2012 ; Conference date: 24-05-2012 Through 26-05-2012",
}