caa a22 4500 605469822 CHVBK 20210128100324.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00500-014-1417-3 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1417-3 Optimal design of electromagnet for Maglev vehicles using hybrid optimization algorithm [Elektronische Daten] [Jae-Hoon Cho, Yong-Tae Kim] This paper introduces a new design method using a hybrid optimization algorithm for the electromagnet used in maglev transportation vehicles. Maglev system typically uses electromagnetic suspension, which is more advantageous than electro dynamic suspension. However, the structural constraints must be considered in the optimal design of an electromagnet for an electromagnetically suspended vehicle. In this study, a hybrid optimization algorithm based on the teaching-learning based optimization algorithm and clonal selection was used to design an electromagnet satisfying the structural constraints. The proposed method was verified by MATLAB simulations, which showed that the proposed method is more efficient than conventional methods. Springer-Verlag Berlin Heidelberg, 2014 Teaching-learning based optimization algorithm nationallicence Clonal selection nationallicence Maglev transportation vehicle nationallicence Electromagnetic suspension nationallicence Cho Jae-Hoon Smart Logistics Technology Institute, Hankyong National University, Anseong-si, Gyeonggi-do, Korea aut Kim Yong-Tae Department of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong-si, Gyeonggi-do, Korea aut Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 901-907 1432-7643 19:4<901 2015 19 500 https://doi.org/10.1007/s00500-014-1417-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1417-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cho Jae-Hoon Smart Logistics Technology Institute, Hankyong National University, Anseong-si, Gyeonggi-do, Korea aut NATIONALLICENCE 700 1- Kim Yong-Tae Department of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong-si, Gyeonggi-do, Korea aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 901-907 1432-7643 19:4<901 2015 19 500