基于混合优化算法的船体线型优化设计

上海交通大学学报（自然版） ›› 2012, Vol. 46 ›› Issue (08): 1238-1242.

基于混合优化算法的船体线型优化设计

张宝吉

（上海海事大学海洋环境与工程学院，上海 201306）

收稿日期:2011-09-04 出版日期:2012-08-31 发布日期:2012-08-31
基金资助:
国家自然科学基金资助项目（51009087），上海高校选拔培养优秀青年教师科研专项基金（shs10072），上海海事大学校级重点学科建设项目（20100010）

Optimization Design of Hull Lines Based on Hybrid Optimization Algorithm

ZHANG Bao- Ji

(College of Ocean Environment Engineering, Shanghai Maritime University, Shanghai 201306, China)

Received:2011-09-04 Online:2012-08-31 Published:2012-08-31

摘要/Abstract

摘要： 为了克服单一优化算法的缺点和不足，将遗传算法(GA)和非线性规划法(NLP)有机结合组成混合优化算法来优化船体形状，开发船体线型优化设计程序.在优化过程中，以Rankine源法计算的兴波阻力为目标函数，以船型修改函数的参数为设计变量，在保证必要排水体积的条件下进行优化设计.Wigley数学船型算例的计算结果表明，在优化效果和耗费时间上，混合优化算法的计算结果更优.该算法可为船舶初步设计阶段船体线型的选择提供理论基础和技术支持. 关键词：
混合优化算法；遗传算法；非线性规划；兴波阻力； Rankine源法中图分类号： U 661.1
文献标志码： A

Abstract: In order to overcome the deficiency of simplex optimization algorithm, the optimized design program of ship lines with own intellectual property was developed by combining the genetic algorithm (GA) and nonlinear programming (NLP) method. In the optimization process, the hybrid optimization algorithm was proposed with wavemaking resistance as the objective function, with an appropriate displacement as a basic constraint condition and the parameters of hull form modification function as design variables. At last, the numerical optimization examples for Wigley hull form were provided, which indicates that the result of hybrid optimization algorithm is more excellent than the simplex optimization algorithm in the time and effect. In the preliminary design of a ship, the algorithm can provide the theoretical foundation and technical support for selecting the lines of ships.

Key words: hybrid optimization algorithm, genetic algorithm, nonlinear programming, wave-making resistance； Rankine source method

张宝吉. 基于混合优化算法的船体线型优化设计[J]. 上海交通大学学报（自然版）, 2012, 46(08): 1238-1242.

ZHANG Bao- Ji. Optimization Design of Hull Lines Based on Hybrid Optimization Algorithm[J]. Journal of Shanghai Jiaotong University, 2012, 46(08): 1238-1242.

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