Browse > Article
http://dx.doi.org/10.5762/KAIS.2019.20.10.486

Optimization of Early-phase Ship Design using Set-Based Design and Genetic Algorithm  

Park, Jin-Won (Integrated Design Division, Haneol Solution Co., Ltd.)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.10, 2019 , pp. 486-492 More about this Journal
Abstract
The system-based approach is needed to select an optimal mix of weapon systems and ship platform among a variety of design alternatives with the uncertainties of the initial required operational capability. In the early-phase design, which included a feasibility study and concept design, it is possible to cause problems when a review of the operational concept, database development, and systematic design are not done, thereby producing uncertain and unstable requirements. To select the best solution without trial-and-error, the U.S. navy has applied the set-based method for the early-phase design of a new ship-to-shore connector. The ship synthesis model plays an important role in applying the set-based method, but only a few countries possess this model and have prohibited this model from being transferred to other countries. This paper suggests a set-based method using a genetic algorithm and decision-making theory through benchmarking existing ship data. The algorithm was verified using the DDG-51 class ship synthesis model to optimize the weapon system design, which has been released for research purposes.
Keywords
Set-Based Design; TOPSIS; DDG-51; Ship Synthesis Model; Genetic Algorithm; Virginia Tech;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D.J. Singer, N. Doerry, and M.E. Buckley, "What is Set-Based Design?," Naval Engineering Journal, 121(4), pp.1-13, 2010. DOI: https://doi.org/10.1111/j.1559-3584.2009.00226.x
2 L. Walter et. al, "Set-Based Design and the Ship to Shore Connector," Naval Engineering Journal, 123(3), pp. 79-92, 2011. DOI: https://doi.org/10.1111/j.1559-3584.2011.00332.x   DOI
3 A.J. Brown, J. Salcedo, "Multiple Objective Optimization in Naval Ship Design," Naval Engineers Journal, 115(4), pp. 49-61, 2003 DOI: https://doi.org/10.1111/j.1559-3584.2003.tb00242.x   DOI
4 L. Snyder et. al., "AREA DEFENSE FRIGATE. ADF Design 95," Design report, Virginia Polytechnic Institute and State University, U.S.A, 2007.
5 I. Mahdavi et. al., "Designing a Model of Fuzzy TOPSIS in Multiple Criteria Decision Making," Applied Mathematics and Computation, 206, pp.607-617, 2008. DOI: https://doi.org/10.1016/j.amc.2008.05.047   DOI
6 N.D. Chakladar and S. Charaborty, "A Combined TOPSIS-AHP-method-based approach for non-traditional machining process selection," Proc. of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol.222, No.12, pp.1613-1623, 2009. DOI: https://doi.org/10.1243/09544054JEM1238