Study on Hull Form Optimization for Minimum Resistance Based on Niche Genetic Algorithms

Abstract

The Niche Genetic Algorithms (NGAs) can overcome the deficiency of Genetic Algo-rithms (GAs), such as premature convergence and low ability of local search. The NGA can maintain the diversity of the individual in groups. Meanwhile, it has a high ability of globally searching and a rapid convergence rate. To get the hull form with minimum resistance, an optimization design of the hull form with NGA method, which is combined with CAD technology based on the Rankine source method, is proposed. The total resistance is taken as objective function in the optimization process, study on the optimization of the fore-body of hull is proposed, with the parameter of hull form modification function as design variables, with an appropriate displacement as the basic constraint. Initially, the Series60 hull was selected as the base for the optimized calculation. Comparison between the optimized results of the NGAs and GAs shows that the hull based on the optimized NGA are valid and effective.