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Ocean Systems Engineering
  Volume 5, Number 2, June 2015, pages 91-107

Application of multi objective genetic algorithm in ship hull optimization
Amitava Guha and Jeffrey Falzarano

    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.
Key Words
    multi objective genetic algorithm; ship hull optimization; seakeeping; nonlinear programming; EEDI
Amitava Guha and Jeffrey Falzarano: Marine Dynamics Laboratory, Department of Civil Engineering, Texas A&M University, College Station, TX, USA, 77843-3136

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