Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters

Publikation: Forskning - peer review › Konferenceartikel i proceeding

Standard

Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters. / Argeseanu, Alin; Ritchie, Ewen ; Leban, Krisztina Monika.

Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. IEEE Press, 2012. s. 671-678 (Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings).

Publikation: Forskning - peer review › Konferenceartikel i proceeding

Harvard

Argeseanu, A, Ritchie, E & Leban, KM 2012, 'Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters'. i Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. IEEE Press, s. 671-678. Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings

APA

Argeseanu, A., Ritchie, E., & Leban, K. M. (2012). Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters. I Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. (s. 671-678). IEEE Press. (Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings). doi: 10.1109/OPTIM.2012.6231799

CBE

Argeseanu A, Ritchie E , Leban KM. 2012. Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters. I Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. IEEE Press. s. 671-678. (Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings).

MLA

Argeseanu, Alin, EwenRitchie, og Krisztina MonikaLeban "Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters". Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. IEEE Press. 2012. 671-678. (Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings).

Vancouver

Argeseanu A, Ritchie E , Leban KM. Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters. I Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment. IEEE Press. 2012. s. 671-678. (Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings).

Author

Argeseanu, Alin; Ritchie, Ewen ; Leban, Krisztina Monika / Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters.

Publikation: Forskning - peer review › Konferenceartikel i proceeding

Bibtex

@inbook{b03bacdcd3cc40bead29c4e8aa39296a,

title = "Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters",

publisher = "IEEE Press",

author = "Alin Argeseanu and Ewen Ritchie and Leban, {Krisztina Monika}",

year = "2012",

isbn = "978-1-4673-1650-7",

series = "Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings",

pages = "671-678",

booktitle = "Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment",

}

RIS

TY - GEN

T1 - Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters

A1 - Argeseanu,Alin

A1 - Ritchie,Ewen

A1 - Leban,Krisztina Monika

AU - Argeseanu,Alin

AU - Ritchie,Ewen

AU - Leban,Krisztina Monika

PB - IEEE Press

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1109/OPTIM.2012.6231799

DO - 10.1109/OPTIM.2012.6231799

SN - 978-1-4673-1650-7

BT - Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment

T2 - Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment

T3 - Optimization of Electrical and Electronic Equipment (OPTIM), Proceedings

T3 - en_GB

SP - 671

EP - 678

ER -