王龙侃, 许维军, 张之凡, 武春霖. 基于遗传算法的船体分段装配优化[J]. 中国舰船研究, 2013, 8(6): 50-53,62. DOI: 10.3969/j.issn.1673-3185.2013.06.009
引用本文: 王龙侃, 许维军, 张之凡, 武春霖. 基于遗传算法的船体分段装配优化[J]. 中国舰船研究, 2013, 8(6): 50-53,62. DOI: 10.3969/j.issn.1673-3185.2013.06.009
WANG Longkan, XU Weijun, ZHANG Zhifan, WU Chunlin. Assembly Sequence Optimization of Hull Sections Based on Genetic Algorithms[J]. Chinese Journal of Ship Research, 2013, 8(6): 50-53,62. DOI: 10.3969/j.issn.1673-3185.2013.06.009
Citation: WANG Longkan, XU Weijun, ZHANG Zhifan, WU Chunlin. Assembly Sequence Optimization of Hull Sections Based on Genetic Algorithms[J]. Chinese Journal of Ship Research, 2013, 8(6): 50-53,62. DOI: 10.3969/j.issn.1673-3185.2013.06.009

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

  • 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。

     

    Abstract: The optimization of the assembly sequence is of great significance for improving the overall efficiency of shipbuilding. In this paper, a typical hull section is selected as the research object, and the genetic 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 algorithm 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 presented. The results verify the effectiveness and validity of the genetic algorithm during the optimization process of hull assembly sequence.

     

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