ABSTRACT

In order to improve the geometry of a ship, an optimization method based on natural selection, namely Binary-Coded Genetic Algorithms (BCGAs) is newly constructed by adopting the shifting technique to the sectional area curve (SAC) of a ship. In the optimization process, the shape function is introduced to generate various shapes of SAC followed by Lagrangian interpolation to obtain the new station positions. Needless to say, the fitness function used in this optimization is measured from the added resistance owing to the ship motions. It will be computed by means of Enhanced Unified Theory (EUT) due to its superiority to the strip theory in which the effect of wave reflection mainly generated near the bow is taken into account through the body boundary condition in the diffraction problem as well as 3D and forward-speed effects ignored in the strip theory are incorporated in the EUT through the matching process. The obtained results show the capability of BCGA combined with EUT in improving the ship's geometry.

Keywords:
evolutionary algorithm, artificial intelligence, binary-coded genetic algorithm, health & medicine, wavelength region, operator, optimization, machine learning, middle wavelength region, geometry
Subjects:
Information Management and Systems, Artificial intelligence
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2013. International Society of Offshore and Polar Engineers
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