基于遗传算法的船体分段装配优化  

Assembly Sequence Optimization of Hull Sections Based on Genetic Algorithms

作　　者：王龙侃[1] 许维军[1] 张之凡[1] 武春霖[1] 

机构地区：[1]哈尔滨工程大学船舶工程学院,黑龙江哈尔滨150001

出　　处：《中国舰船研究》2013年第6期50-53,62,共5页Chinese Journal of Ship Research

基　　金：教育部科学研究重大项目(311034);中央高校基本科研业务费专项资金项目(HEUCF010115);上海交通大学海洋工程国家重点实验室研究基金(1209);2013

摘　　要：优化装配序列对提高造船生产效率具有非常重要的意义。选择典型的船体分段为研究对象,首先结合生产实际将装配结构层次化,生成子装配体以缩短遗传算法中染色体的长度,加快算法向最优解的收敛速度,提高装配规划效率;然后应用遗传算法得到船体分段最优装配序列;最后利用CATIA软件对分段进行建模,并完成分段虚拟装配过程的仿真演示。实例分析结果验证了应用遗传算法的可行性与有效性,显示其有助于优化船体分段装配顺序。The optimization of the assembly sequence is of great significance for improving the overall effi- ciency of shipbuilding. In this paper, a typical hull section is selected as the research object, and the ge- netic algorithm, a global optimizing method used to enhance the calculation speed, is incorporated into the actual production to obtain the optimal assembly sequence. Then, the length of chromosome used by the al- gorithm is shortened so that the efficiency of assembly planning is improved. Finally, the model for the hull section is constructed using the CATIA software, and a simulation demo of the assembly procedure is pre- sented. The results verify the effectiveness and validity of the genetic algorithm during the optimization pro- cess of hull assembly sequence.

关 键 词：子装配体 遗传算法 装配序列 虚拟装配 CATIA 

分 类 号：U671.4[交通运输工程—船舶及航道工程]