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

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationLecture Notes in Mechanical Engineering
PublisherPleiades Publishing
Number of pages7
ISBN (Print)9783319666969, 9783319686189, 9789811053283, 9789811322723
Publication statusPublished - 2018
Externally publishedYes

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


  • Printed circuit board
  • Routing
  • Simulated Kalman filter

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes


Dive into the research topics of 'Single-solution simulated kalman filter algorithm for routing in printed circuit board drilling process'. Together they form a unique fingerprint.

Cite this