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PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm
Joint Authors
Lim, Wei Chen Esmonde
Kanagaraj, G.
Ponnambalam, S. G.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems.
In a batch production of a large number of items to be drilled such as printed circuit boards (PCB), the travel time of the drilling device is a significant portion of the overall manufacturing process.
To increase PCB manufacturing productivity and to reduce production costs, a good option is to minimize the drill path route using an optimization algorithm.
This paper reports a combinatorial cuckoo search algorithm for solving drill path optimization problem.
The performance of the proposed algorithm is tested and verified with three case studies from the literature.
The computational experience conducted in this research indicates that the proposed algorithm is capable of efficiently finding the optimal path for PCB holes drilling process.
American Psychological Association (APA)
Lim, Wei Chen Esmonde& Kanagaraj, G.& Ponnambalam, S. G.. 2014. PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048963
Modern Language Association (MLA)
Lim, Wei Chen Esmonde…[et al.]. PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048963
American Medical Association (AMA)
Lim, Wei Chen Esmonde& Kanagaraj, G.& Ponnambalam, S. G.. PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048963