| 两种优化算法在螺旋桨优化设计中的应用与比较 |
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| 引用本文： | 郭春雨,王超,熊鹰,黄胜,华佳.两种优化算法在螺旋桨优化设计中的应用与比较[J].船舶工程,2013,35(3):23-26. |
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| 作者姓名： | 郭春雨 王超 熊鹰 黄胜 华佳 |
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| 作者单位： | 哈尔滨工程大学 船舶工程学院,哈尔滨工程大学 船舶工程学院,海军工程大学 船舶与动力学院,哈尔滨工程大学 船舶工程学院,哈尔滨工程大学 船舶工程学院 |
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| 基金项目： | 国家自然科学(11102048),博士点基金资助项目(20102304120026),中央高校基本科研业务费专项资金资助(HEUCFT1001),黑龙江省博士后基金 |
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| 摘 要： | 为了获取合理且高效的船用螺旋桨,把数值优化算法引用到螺旋桨剖面设计中来。设计过程中以遗传算法和模拟退火算法为优化算法,以提高敞水效率为优化目标,通过优化算法的操作产生新翼型剖面,并结合面元法水动力性能预报程序进行原型桨与设计桨的水动力性能预报。由结果分析可知:结合优化算法的螺旋桨设计是可行的,且在算例中各算法的设置条件下,模拟退火算法无论在优化效果上还是在优化效率上都比遗传算法表现卓越。
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| 关 键 词： | 敞水效率 遗传算法 模拟退火算法 面元法 优化设计 |
| 收稿时间： | 2012/8/14 0:00:00 |
| 修稿时间： | 2012/10/15 0:00:00 |
The Application and Comparison of Two Different Optimization Algorithms in the Optimization Design of Propeller |
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| GUO Chunyu,WANG Chao,XIONG Ying,HUANG Sheng and.The Application and Comparison of Two Different Optimization Algorithms in the Optimization Design of Propeller[J].Ship Engineering,2013,35(3):23-26. |
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| Authors: | GUO Chunyu WANG Chao XIONG Ying HUANG Sheng and |
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| Institution: | College of Shipbuilding Engineering,Harbin Engineering University,College of Shipbuilding Engineering,Harbin Engineering University,College of Naval Architecture and Marine Power,Naval University of Engineering,College of Shipbuilding Engineering,Harbin Engineering University,College of Shipbuilding Engineering,Harbin Engineering University |
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| Abstract: | In order to obtain reasonable and effective marine propeller, the numerical optimization algorithm is used in the design of the propeller profile. Improving water efficiency is the optimization target, and genetic algorithm (GA) and simulated annealing algorithm is used as optimal algorithm. The optimized object is the classic 4119 paddle. Each profile of blades is shown again by the method of analytic functions superposition, then the new type of profile is produced through operating the optimization algorithm. And combined with the program of hydrodynamic performance forecast by panel method, the hydrodynamic performance forecast of prototype and optimization oars is down. Through the comparison of the results, it shows that the optimization design of propeller combining with optimization algorithm is feasible. and the simulated annealing algorithm is better than genetic algorithm (GA) whether in optimization efficiency or in optimization effect. |
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| Keywords: | Open water efficient genetic algorithm simulated annealing algorithm panel method optimization design |
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