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

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

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Abstract

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.

Item Type: Book Section
Uncontrolled Keywords: Simulated Kalman Filter; Printed Circuit Board; Routing
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Manufacturing Engineering
Depositing User: Prof. Madya Dr. Zuwairi Ibrahim
Date Deposited: 19 Feb 2018 06:20
Last Modified: 07 Aug 2018 04:27
URI: http://umpir.ump.edu.my/id/eprint/19729
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