Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Burkeek, Cowlingpi, Ralfk: New models and heuristics for component placement in printed circuit board assembly. In: Proceedings of the 1999 IEEE International Conference on Information, Intelligence and Systems(ICIIS 1999), pp. 133–140. IEEE Press, Los Alamitos (1999)
Laarhoven, P.V., Zijm, W.: preparation and numerical control in PCB assembly. International Journal Flexible Manufacture System 3, 187–207 (1993)
Leipulut, N.: Optimization of the movements of a component placement machine. European Journal of Operation Research 38(2), 167–177 (1989)
Leumc, Wongh, J.: Planning of component placement/insertion sequence and feeder setup in PCB assembly using genetic algorithms. Journal of Electronic Packaging, Transactions of the ASME 115(4), 424–432 (1993)
Khoolp, N.: A genetic algorithm-based planning system for PCB component placement. International Journal of Production Economics 54(3), 321–332 (1998)
Loh, T.S., Satich, T.S., Bukkapatnam, D., Kwon, H.: A genetic algorithm for sequential. part assignment for PCB assembly. Computer & Industrial Engineering 40(4), 293–307 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, WQ., Zhu, GY. (2008). A Genetic Optimization Approach to Optimize the Multi-head Surface Mount Placement Machine. In: Xiong, C., Liu, H., Huang, Y., Xiong, Y. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88518-4_107
Download citation
DOI: https://doi.org/10.1007/978-3-540-88518-4_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88516-0
Online ISBN: 978-3-540-88518-4
eBook Packages: Computer ScienceComputer Science (R0)