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A Genetic Optimization Approach to Optimize the Multi-head Surface Mount Placement Machine

机译:一种优化多头表面贴装放置机的遗传优化方法

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摘要

The genetic algorithm (GA) for multi-head surface mounting machines is studied, and it has two contributions to the multi-head case, one is that the algorithm has a special crossover operation; the other is that its mutation operation is composed of exchange operator and inversion operator. Experimental results show that the proposed approach gives good robot assembly time and less movement of the feeder carrier and PCB table.
机译:研究了多头表面安装机的遗传算法(GA),并且对多头壳有两个贡献,是算法具有特殊的交叉操作;另一个是其突变操作由Exchange运营商和反演运营商组成。实验结果表明,该方法提供了良好的机器人组装时间和馈送器载体和PCB表的移动较少。

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