PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm

Joint Authors

Lim, Wei Chen Esmonde
Kanagaraj, G.
Ponnambalam, S. G.

Source

The Scientific World Journal

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