Abstract
This paper presents a hybrid optimization algorithm which combines an external call type optimization method and a general stochastic iterative algorithm for the nonlinear integer programming with genetic algorithm (GA). GA can rapidly search the approximate global optimum under a complicated design environment such as a ship structure. Meanwhile it can handle optimization problems involving discrete design variables. In addition, there are many parameters that have to be set for GA which greatly affect the accuracy and calculation time of the optimum solution. However, the setting process is difficult for users, and there are no rules to decide these parameters. Therefore, to overcome these difficulties, the optimization of these parameters has been also conducted by using GA itself. It is proven using the trial function that the parameters are optimal. Finally, the verification of validity and usefulness of nonlinear integer programming is performed by applying this method to the compass deck of a ship where the vibration problem is frequently occurs.
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This paper was recommended for publication in revised form by Associate Editor Eung-Soo Shin
YoungMo Kong received his B.S. degree, M.S. and Ph.D. degrees in Mechanical Engineering from Pukyong National University, Korea, in 1990, 1992 and 2006, respectively. Dr. Kong is currently a Principal Research Engineer at the Vibration & Noise R&D Team at Daewoo Shipbuilding & Marine Engineering Co.LTD, Korea. His research interests include vibration and noise analysis, optimum design of rotating machinery and structure.
SuHyun Choi received his B.S. degree and M.S. degrees in Naval Architecture from Seoul National University, Korea, in 1982 and 1984, respectively and Ph.D. in Mechanical Engineering from The University of Michigan, Ann Arbor in the USA in 1992. Dr. Choi is currently a Vice President at the Commercial Ship Business Management at Daewoo Shipbuilding & Marine Engineering Co.LTD, Korea. His research interests include vibration and noise analysis, optimum design of rotating machinery and structure.
Jin Dae Song received his B.S. degree and M.S. degree in Mechanical Engineering from Pukyong National University, Korea, in 2000 and 2002, respectively. Mr. Song is currently a candidate for the Ph.D degree in Mechanical Engineering from Pukyong National University. His research interests include vibration analysis and optimum design of rotating machinery.
Bo-Suk Yang is a professor at the Pukyong National University in Korea. He received his Ph.D. degree in Mechanical Engineering from Kobe University, Japan in 1985. His main research fields cover machine dynamics and vibration engineering, intelligent optimum design, and condition monitoring and diagnostics in rotating machinery. He has published well over 190 research papers on vibration analysis, intelligent optimum design and diagnosis of rotating machinery. He is listed in Who’s Who in the World, Who’s Who in Science and Engineering, among others.
ByeongKeun Choi is an Associate Professor at the Department of Precision Mechanical Engineering at Gyeongsang National University in Korea. He received his Ph.D. degrees in Mechanical Engineering from Pukyong National University, Korea, in 1999. Dr. Choi worked at Arizona State University as an Academic Professional from 1999 to 2002. His research interests include vibration analysis and optimum design of rotating machinery, machine diagnosis and prognosis and acoustic emission. He is listed in Who’s Who in the World, among others.
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Kong, YM., Choi, SH., Song, JD. et al. Application of nonlinear integer programming for vibration reduction optimum design of ship structure. J Mech Sci Technol 23, 2085–2096 (2009). https://doi.org/10.1007/s12206-009-0434-0
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DOI: https://doi.org/10.1007/s12206-009-0434-0