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Optimization System of Block Division Using Genetic Algorithm and Product Model

机译：基于遗传算法和产品模型的分块优化系统

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摘要

Block construction method is generally used in modern shipyards. In this method, interim products are built by assembling parts, and the ship is built from these interim products. This process can be referred as "Assembling Hierarchy" in this paper. In order to construct the ship effectively, an appropriate Assembling Hierarchy plan which considering the configurations of interim products is required. So in this paper, an optimization system of ship Assembling Hierarchy using Genetic Algorithms (GA) and Product Model is discussed.rnIn order to realize the optimization using GA, it is necessary to define the chromosomes and to examine the GA operations. Therefore, Joint Hierarchy Chromosome is newly introduced. Joint hierarchy chromosome is genotype or encoded solution of Assembling Hierarchy. In this chromosome, the level of Assembling Hierarchy on each joint is set as design variable. By using this chromosome, various plans of ship Assembling Hierarchy can be generated. Effective GA operations such as selection, crossover and mutation are also shown. Moreover, proposed system is integrated with Product Model. Therefore, fitness with penalty of the plan is calculated by the use of Product Model data.rnFinally, an example of the optimization is shown in the paper to confirm the validity of the developed method.
机译：砌块的建造方法通常在现代造船厂中使用。在这种方法中，临时产品是通过组装零件来构建的，而船是由这些临时产品来构建的。该过程在本文中可以称为“组装层次结构”。为了有效地建造船舶，需要考虑临时产品配置的适当组装层次计划。因此，本文讨论了一种基于遗传算法和产品模型的舰船装配层次优化系统。为了实现基于遗传算法的优化，有必要对染色体进行定义并检验遗传算法的运行情况。因此，新引入了联合层次染色体。联合层次染色体是组装层次的基因型或编码解。在该染色体中，每个关节的装配层次级别设置为设计变量。通过使用此染色体，可以生成各种船舶装配层次图。还显示了有效的GA操作，例如选择，交叉和突变。此外，所提出的系统与产品模型集成在一起。因此，通过使用产品模型数据来计算是否符合计划的惩罚。最后，本文以优化为例，以验证所开发方法的有效性。

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