Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process

Optimal drilling path for printed circuit board is crucial in increasing productivity and reduce production costs. Single-solution Simulated Kalman Filter (ssSKF) is a new optimizer inspired by the Kalman filtering process. It uses only a single agent to solve optimization process by finding the est...

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Main Authors: Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Zulkifli, Md. Yusof, Mohd Saberi, Mohamad
Other Authors: Mohd Hasnun Ariff, Hassan
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19729/1/Hidayati%20et%20al.%20-%20Single-solution%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Routing%20in%20Printed%20Circuit%20Board%20Drilling%20Process%20Single-solutio.pdf
http://umpir.ump.edu.my/id/eprint/19729/7/book57.1%20Single-solution%20simulated%20kalman%20filter%20algorithm%20for%20routing%20in%20printed%20circuit%20board%20drilling%20process.pdf
http://umpir.ump.edu.my/id/eprint/19729/
https://doi.org/10.1007/978-981-10-8788-2_59
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spelling my.ump.umpir.197292018-08-07T04:27:35Z http://umpir.ump.edu.my/id/eprint/19729/ Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Zulkifli, Md. Yusof Mohd Saberi, Mohamad TK Electrical engineering. Electronics Nuclear engineering Optimal drilling path for printed circuit board is crucial in increasing productivity and reduce production costs. Single-solution Simulated Kalman Filter (ssSKF) is a new optimizer inspired by the Kalman filtering process. It uses only a single agent to solve optimization process by finding the estimate of the optimal solution. Principally, ssSKF algorithm uses the standard Kalman filter framework, aided by a local neighborhood technique during its prediction step. This paper reveals the potential of ssSKF as a good routing method in printed circuit board (PCB) drilling process. Experimental results indicate that the ssSKF algorithm outperforms the existing methods in searching a good route to speed up a PCB drilling process. Springer Singapore Mohd Hasnun Ariff, Hassan 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19729/1/Hidayati%20et%20al.%20-%20Single-solution%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Routing%20in%20Printed%20Circuit%20Board%20Drilling%20Process%20Single-solutio.pdf pdf en http://umpir.ump.edu.my/id/eprint/19729/7/book57.1%20Single-solution%20simulated%20kalman%20filter%20algorithm%20for%20routing%20in%20printed%20circuit%20board%20drilling%20process.pdf Nor Hidayati, Abdul Aziz and Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Zulkifli, Md. Yusof and Mohd Saberi, Mohamad (2018) Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 649-655. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_59 DOI: 110.1007/978-981-10-8788-2_59
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
Nor Azlina, Ab. Aziz
Zulkifli, Md. Yusof
Mohd Saberi, Mohamad
Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
description Optimal drilling path for printed circuit board is crucial in increasing productivity and reduce production costs. Single-solution Simulated Kalman Filter (ssSKF) is a new optimizer inspired by the Kalman filtering process. It uses only a single agent to solve optimization process by finding the estimate of the optimal solution. Principally, ssSKF algorithm uses the standard Kalman filter framework, aided by a local neighborhood technique during its prediction step. This paper reveals the potential of ssSKF as a good routing method in printed circuit board (PCB) drilling process. Experimental results indicate that the ssSKF algorithm outperforms the existing methods in searching a good route to speed up a PCB drilling process.
author2 Mohd Hasnun Ariff, Hassan
author_facet Mohd Hasnun Ariff, Hassan
Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
Nor Azlina, Ab. Aziz
Zulkifli, Md. Yusof
Mohd Saberi, Mohamad
format Book Section
author Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
Nor Azlina, Ab. Aziz
Zulkifli, Md. Yusof
Mohd Saberi, Mohamad
author_sort Nor Hidayati, Abdul Aziz
title Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
title_short Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
title_full Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
title_fullStr Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
title_full_unstemmed Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
title_sort single-solution simulated kalman filter algorithm for routing in printed circuit board drilling process
publisher Springer Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19729/1/Hidayati%20et%20al.%20-%20Single-solution%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Routing%20in%20Printed%20Circuit%20Board%20Drilling%20Process%20Single-solutio.pdf
http://umpir.ump.edu.my/id/eprint/19729/7/book57.1%20Single-solution%20simulated%20kalman%20filter%20algorithm%20for%20routing%20in%20printed%20circuit%20board%20drilling%20process.pdf
http://umpir.ump.edu.my/id/eprint/19729/
https://doi.org/10.1007/978-981-10-8788-2_59
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score 13.211869