计算机工程2011，Vol.37Issue(8)：207-209,3.DOI:10.3969/j.issn.1000-3428.2011.08.072
基于自适应小生境遗传算法的船型优化
Optimization of Hull Form Based on Adaptive Niche Genetic Algorithm
摘要
Abstract
The Adaptive Niche Genetic Algorithm(ANGA) can overcome the deficiency of Sample Niche Genetic Algorithm(SNGA) such as complicated operation and time-consuming, maintain stability of the groups, and obtain appropriate scope of the individual, as to get optimal solution best. In order to obtain the hull form with the excellent resistance performance, an optimization design model of hull form is proposed based on the Rankine source method of potential flow theory. The adaptive niche genetic algorithm combined with the CAD technology to solve the problem. The optimization examples for S60 ships are provided, which confirm that the algorithm is reliable.关键词
基本小生境遗传算法/自适应小生境遗传算法/Rankine源法/优化设计Key words
Sample Niche Genetic Algorithm(SNGA)/ Adaptive Niche Genetic Algorithm(ANGA)/ Rankine source method/ optimization design分类
交通工程引用本文复制引用
张宝吉..基于自适应小生境遗传算法的船型优化[J].计算机工程,2011,37(8):207-209,3.基金项目
上海海事大学校基金资助项目"基于Rankine源法的船型优化设计方法研究"(20100075) （20100075）
