Optimization of ship principal parameters with improved ant colony algorithm

被引：0
|
作者：
Jin, Yan [1 ,2 ]
Zhao, Yao [1 ]
机构：
[1] College of Naval Architecture and Ocean Engineering, Huazhong Univ. of Sci. and Technol., Wuhan 430074, China
[2] School of Transportation, Wuhan University of Technology, Wuhan 430063, China
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2008年 / 36卷 / 11期
关键词：
Ant colony optimization - Parameter estimation - Ships;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Based on the basic ant colony algorithms(ACA) the paper proposes an improved ant colony algorithms (IACA). Using IACA and ACA to solve the preliminary ship design problem (length, bredth, draft, depth, etc) the result shows that improved ant colony algorithms is more efficient and global optimality. Finally the paper analyzes how much some coefficients would impact optimization. It shows that the global optimality is based on choosing the reasonable parameters.
引用
收藏
页码：99 / 102
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