Title :
An Ad-Hoc Method with Genetic Algorithm for Printed Circuit Board Assembly Optimization on the Sequential Pick-and-Place Machine
Author :
Gang Peng ; Kehan Zeng
Author_Institution :
Dept. Comput. Sci., Huizhou Univ., Huizhou, China
Abstract :
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.
Keywords :
assembling; genetic algorithms; materials handling equipment; printed circuit manufacture; production equipment; DSWS; ad-hoc method; distance score with weights selection; feeder loading; genetic algorithm; printed circuit board assembly optimization; sequential pick-and-place machine; Assembly; Genetic algorithms; Magnetic heads; Optimization; Printed circuits; Production; Transmission line matrix methods; PCB assembly optimization; Pseudo-crossover; ad-hoc; genetic algorithm; local search;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2013 International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-2418-9
DOI :
10.1109/PDCAT.2013.27
