naa a22 4500 510822517 CHVBK 20180411083540.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s12541-013-0214-8 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0214-8 Optimum design of simple rotor system supported by journal bearing using enhanced genetic algorithm [Elektronische Daten] [Dong-Sik Gu, Young-Chan Kim, Jong-Myeong Lee, Byeong-Keun Choi] This paper presents a combined algorithm for optimum design of flexible rotor system supported by journal bearing. The proposed algorithm (Enhanced Genetic Algorithm, EGA) is the synthesis of a modified genetic algorithm and simplex method. A genetic algorithm (GA) is well known as a useful optimization technique for complex, nonlinear, and multi-optimization problems. The modified GA gives the candidate solutions in global search and then the solutions will be treated as initial values in the local search by the simplex method. The EGA is not only faster than the standard genetic algorithm, but also provides a more accurate solution. In addition, this algorithm can find both the global and the local optimum solutions at the same time. Through two standard test functions, the advantages of the proposed hybrid algorithm has been confirmed. Finally, to optimize a simple rotor system supported by journal bearing, EGA is applied. The radial clearance, length to diameter ratio and average viscosity of the journal bearing are chosen as the design parameters. The objective function is the minimization of a maximum quality factor of a flexible rotor system in the operating speed range. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Enhanced genetic algorithm nationallicence Optimum design nationallicence Flexible rotor system nationallicence Gu Dong-Sik Division of Shipbuilding and Production, Changwon Moonsung University, 91, Choonghon-ro, Uichang-gu, Changwon, 641-771, Gyeongnam, South Korea aut Kim Young-Chan Doosan Heavy Industry, 22, DoosanVolvo-ro, Seongsan-gu, Changwon, 642-792, Gyeongnam, South Korea aut Lee Jong-Myeong Department of Energy and Mechanical Engineering, Graduate School of Engineering, Gyeongsang National University, 650-1660, Tongyeong, Gyeongsnam, South Korea aut Choi Byeong-Keun Department of Energy and Mechanical Engineering, Institute of Marine Industry, Gyeongsang National University, 650-1660, Tongyeong, Gyeongsnam, South Korea aut International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/9(2013-09-01), 1583-1589 2234-7593 14:9<1583 2013 14 12541 https://doi.org/10.1007/s12541-013-0214-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0214-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gu Dong-Sik Division of Shipbuilding and Production, Changwon Moonsung University, 91, Choonghon-ro, Uichang-gu, Changwon, 641-771, Gyeongnam, South Korea aut NATIONALLICENCE 700 1- Kim Young-Chan Doosan Heavy Industry, 22, DoosanVolvo-ro, Seongsan-gu, Changwon, 642-792, Gyeongnam, South Korea aut NATIONALLICENCE 700 1- Lee Jong-Myeong Department of Energy and Mechanical Engineering, Graduate School of Engineering, Gyeongsang National University, 650-1660, Tongyeong, Gyeongsnam, South Korea aut NATIONALLICENCE 700 1- Choi Byeong-Keun Department of Energy and Mechanical Engineering, Institute of Marine Industry, Gyeongsang National University, 650-1660, Tongyeong, Gyeongsnam, South Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/9(2013-09-01), 1583-1589 2234-7593 14:9<1583 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer