基于遗传算法的最小阻力船型优化设计

Optimization design for hull form of minimum total resistance based on Genetic Algorithms

遗传算法是一种全局最优化算法,它能够克服传统优化方法的缺点和不足,从而获得全局最优解。因此,为了获得阻力性能更好的优良船型,将遗传算法进行适当改进并用于船型优化中,进行最小阻力船型优化设计,以非线性兴波阻力理论(Rankine源法)为基础,利用遗传算法并结合CAD技术进行船型优化设计。在优化过程中,把总阻力作为目标函数,设计变量取船型修改函数的参数,确保排水量为基本约束条件下,对船体前半体型线进行优化研究。选取某高速巡逻艇作为初始船型进行优化计算,获得的最优船型总阻力降低了13.1%,兴波阻力降低了21.7%,表明遗传算法用于船体线型优化设计是行之有效的。

Genetic algorithm （GA） is a global optimization algorithm, which can overcome the defect and deficiency of traditional optimization method,thus obtains global optimal solution.In order to obtain the best hull form with better resistance performance,the GA is appropriately improved and applied in hull form optimization with minimum resistance, which is based on the nonlinear wave resistance （Rankine source method）,using the GA and combined with CAD technology.In the optimization process, the bow-body shape of hull form is optimized with the minimum total resistance as the objective function,the parameters of hull form modification function are taken as the design variables,and the displacement is insured under basic constraints. Some high-speed patrol boat was selected as the original hull form for calculation and the optimal hull was obtained which the total resistance was reduced by 13.1%,and the wave making resistance was reduced by 21.7%, which illustrates that the GA applied in optimization design is effective.