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Abstract Multidisciplinary design optimization (MDO) can yield an optimal design considering all the disciplinary requirements concurrently. A method to implement the collaborative optimization (CO) approach, one of the MDO methodologies, is developed using a pre-compiler ‘EzPreCompiler’, a design optimization library ‘EzOptimizer’, and a common object request broker architecture (CORBA) in distributed computing environment. The optimization processes are performed at both system and discipline levels, where the design sensitivity at optimum in one level can be utilized for the initial design gradients in alternate level optimization. The CO approach is applied to a mathematical example to show its applicability and equivalence to standard optimization (SO) formulation. In a realistic engineering problem such as initial design of a bulk carrier, the CO yields better results than the SO due to the additional variables. Furthermore, the CO allows the distributed processing using the CORBA, which leads to the significant reduction of overall
computation time.
Publication Date 2001-11-01
Role Coauthor
Category SCIE

Kyu-Yeul Lee, Myung-Il Roh, Seonho Cho, "Multidisciplinary Design Optimization of Mechanical Systems Using Collaborative Optimization Approach", International Journal of Vehicle Design, Vol. 25, No. 4, pp. 353-368, 2001.11.01


List of Articles
번호 분류 제목 Publication Date
8 International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
7 International Journal Hye-Won Lee, Joo-Hyun Woo, Myung-Il Roh, Seung-Ho Ham, et al., "Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System", Journal of Marine Science and Technology (Taiwan) file 2021-09-03
6 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vo. 8, No. 5 file 2021-10-01
5 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
4 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
3 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
2 International Journal Jin-Hyeok Kim, Myung-Il Roh et al. "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", accepted for publication in International Journal of Naval Architecture and Ocean Engineering, 2022.10.21 2022-10-21
1 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", accepted for publication in Journal of Computational Design and Engineering, 2022.11.11 2022-11-11
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