基于遗传算法的顺序拾取机印刷电路板装配优化的自组织方法

2013 International Conference on Parallel and Distributed Computing, Applications and Technologies Pub Date : 2013-12-16 DOI:10.1109/PDCAT.2013.27

Gang Peng, Kehan Zeng

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引用次数: 1

摘要

提出了一种基于权重选择的距离评分(DSWS)方法来选择合适的馈线槽位。提出了一种遗传算法，用于搜索将馈线安排到选定槽位的最优解并对馈线放置位置进行排序。数值结果表明了该方法的有效性和高效性，以及相对于现有基准算法的优势。

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An Ad-Hoc Method with Genetic Algorithm for Printed Circuit Board Assembly Optimization on the Sequential Pick-and-Place Machine

A novel ad-hoc approach named Distance Score with Weights Selection (DSWS) is proposed to select suitable slots for loading feeders. A genetic algorithm is proposed to search the optimal solutions of arranging feeders to selected slots and sequencing the placement positions. The numerical results show the effectiveness and efficiency of the proposed approach and its advantages over existing benchmark algorithms.

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2013 International Conference on Parallel and Distributed Computing, Applications and Technologies

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