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A hybrid-coded genetic algorithm based optimisation of non-productive paths in CNC machining

机译:基于混合编码遗传算法的CNC加工非生产路径优化

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In order to optimise the non-productive paths in CNC machining under entry or exit constraints (such as in laser engraving and flame cutting), a hybrid-coded genetic algorithm (HCGA) is proposed in this paper. There are two chromosomes in the HCGA. One chromosome, called the master chromosome, uses a natural number-coded mode, and represents the sequence of productive contours. The other chromosome, called the slave chromosome, uses a binary-coded mode, and represents the entry or exit nodes of the productive contours. The two chromosomes use the same evaluation function and selection mechanism, but the crossover and mutation operators are different. The coding and genetic operators jar open, closed and mixed productive contours are discussed in detail. The result shows that the HCGA is simple but effective for the optimising of non-productive paths in CNC machining.
机译:为了优化在进入或退出约束下(例如激光雕刻和火焰切割)数控加工中的非生产路径,本文提出了一种混合编码遗传算法(HCGA)。 HCGA中有两条染色体。一条称为主染色体的染色体使用自然数字编码模式,代表生产轮廓的序列。另一个染色体称为从染色体,它使用二进制编码模式,代表生产轮廓的入口或出口节点。两条染色体使用相同的评估功能和选择机制,但交叉和变异算子不同。详细讨论了编码和遗传算子的开放,封闭和混合生产轮廓。结果表明,HCGA简单但有效地优化了CNC加工中的非生产路径。

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