期刊文献+

改进遗传算法在装配操作优化中的应用 被引量:6

Application of Improved Genetic Algorithm to Assembly Operations Optimization
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摘要 针对复杂车身连接关系和多装配顺序,改进后的装配模型不仅描述了零件间的装配优先关系,而且还包含了可以用于公差分析的装配连接特征信息.在此基础上,根据迂回遗传算法对零件间的装配操作进行优化,以提高优化效率及求解范围.最后,通过某车身侧围装配案例说明了该算法的有效性. For automobile body with multi-connections among components and multi-sequences, an improved assembly modeling method is presented, which describes precedence relations among components and joints information used in tolerance analysis. Furthermore, based on the automobile body assembly model, an improved genetic algorithm is proposed to determine optimal assembly operations on components. The search efficiency can be improved and the possibility of search for the globally optimal solutions is increased. An automobile body side assembly is taken as an example to validate the advantages of the algorithm.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2007年第10期1298-1302,共5页 Journal of Computer-Aided Design & Computer Graphics
基金 国家"八六三"高技术研究发展计划(2006AA04Z148)
关键词 装配操作 装配模型 迂回遗传算法 assembly operations assembly model circumbendibus genetic algorithm
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参考文献16

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二级参考文献13

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