Ocean Systems Engineering

  • 제5권2호
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  • Pages.91-107
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  • 2015
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  • 2093-6702(pISSN)
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  • 2093-677X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Application of multi objective genetic algorithm in ship hull optimization

  • Guha, Amitava (Marine Dynamics Laboratory, Department of Civil Engineering, Texas A&M University) ;
  • Falzaranoa, Jeffrey (Marine Dynamics Laboratory, Department of Civil Engineering, Texas A&M University)
  • 투고 : 2015.06.05
  • 심사 : 2015.06.10
  • 발행 : 2015.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Ship hull optimization is categorized as a bound, multi variable, multi objective problem with nonlinear constraints. In such analysis, where the objective function representing the performance of the ship generally requires computationally involved hydrodynamic interaction evaluation methods, the objective functions are not smooth. Hence, the evolutionary techniques to attain the optimum hull forms is considered as the most practical strategy. In this study, a parametric ship hull form represented by B-Spline curves is optimized for multiple performance criteria using Genetic Algorithm. The methodology applied to automate the hull form generation, selection of optimization solvers and hydrodynamic parameter calculation for objective function and constraint definition are discussed here.

키워드

참고문헌

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피인용 문헌

  1. Probabilistic multi-objective optimization of a corrugated-core sandwich structure vol.10, pp.6, 2016, https://doi.org/10.12989/gae.2016.10.6.709
  2. A comparison of the neumann-kelvin and rankine source methods for wave resistance calculations vol.7, pp.4, 2015, https://doi.org/10.12989/ose.2017.7.4.371
  3. The Prediction of Hull Gesture and Flow Around Ship Based on Taylor Expansion Boundary Element Method vol.26, pp.2, 2015, https://doi.org/10.2478/pomr-2019-0039