基于遗传算法的最小阻力船型优化设计

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基于遗传算法的最小阻力船型优化设计基于遗传算法的最小阻力船型优化设计
张宝吉 1
马 坤 2
纪卓尚 2
1 上海海事大学 海洋环境与工程学院 上海 201308 2 大连理工大学
船舶 CAD 工程中心 辽宁 大连 116024
摘要 遗传算法是-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
关键词 遗传算法 最小阻力船型 Rankine 源法 优化设计
中图分类号 U661.1 文献标识码 A
1
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2
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2
(1 College of Ocean Environment Engineering， Shanghai Maritime University， Shanghai 201308， China;
2 Ship CAD Engineering Center， Dalian University of Technology， Dalian 116024， China)
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 opti
mal 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.
GA; minimum resistance hull form; Rankine source method; optimization design
引 言
在满载装载要求下 船体最佳外形 线型 的确定是船舶设计过程中非常繁复而又非常关键的设
计技术 因为它直接影响到船舶快速性 阻力和推进 操纵性和耐波性等重要性能 而阻力最小的船