Rankine source method, optimization technology, parametric modeling technology, and improved mul tiobjective optimization algorithm were combined to investigate the multiobjective optimization design of hull
form. A multiobjective and multilevel optimization design framework was constructed for the comprehensive
navigation performance of ships. CAESES software was utilized as the optimization platform, and nondominated
sorting genetic algorithm II (NSGA-II) was used to conduct multiobjective optimization research on the resis tance and sea-keeping performance of the ITTC Ship A-2 fishing vessel. Optimization objectives of this study are
heave/pitch response amplitude and wave-making resistance. Taking the displacement and the length between
perpendiculars as constraints, we optimized the profile of the hull. Analytic hierarchy process (AHP) and tech nique for order preference by similarity to ideal solution (TOPSIS) were used to sort and select Pareto solutions
and determine weight coefficient of each navigation performance objective in the general objective. Finally, the
hydrodynamic performance before and after the parametric deformation of the hull was compared. The results
show that both the wave-making resistance and heave/pitch amplitude of the optimized hull form are reduced,
and the satisfactory optimal hull form is obtained. The results of this study have a certain reference value for the
initial stage of multiobjective optimization design of hull form.
LIU Jiea (刘 洁), ZHANG Baojib∗ (张宝吉)
. Multiobjective Optimization of Hull Form Based on
Global Optimization Algorithm[J]. Journal of Shanghai Jiaotong University(Science), 2022
, 27(3)
: 346
-355
.
DOI: 10.1007/s12204-022-2445-2
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