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.