@inbook{2a905ca6ccbe4476982cff91f8a02307,
title = "Single-solution simulated kalman filter algorithm for routing in printed circuit board drilling process",
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.",
keywords = "Printed circuit board, Routing, Simulated Kalman filter",
author = "\{Abdul Aziz\}, \{Nor Hidayati\} and Zuwairie Ibrahim and \{Ab Aziz\}, \{Nor Azlina\} and \{Md. Yusof\}, Zulkifli and Mohamad, \{Mohd Saberi\}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.",
year = "2018",
doi = "10.1007/978-981-10-8788-2\_59",
language = "English",
isbn = "9783319666969",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Pleiades Publishing",
number = "9789811087875",
pages = "649--655",
booktitle = "Lecture Notes in Mechanical Engineering",
address = "United States",
edition = "9789811087875",
}