DocumentCode
3320797
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
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
128
Lastpage
133
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2013 International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4799-2418-9
Type
conf
DOI
10.1109/PDCAT.2013.27
Filename
6904244
Link To Document