A Kalman Filter Approach to PCB Drill Path Optimization Problem

Abdul Aziz, Nor Hidayati and Zuwairie, Ibrahim and Ab. Aziz, Nor Azlina and Saifudin, Razali and Abas, Khairul Hamimah and Mohamad, Mohd Saberi (2017) A Kalman Filter Approach to PCB Drill Path Optimization Problem. In: 2016 IEEE Conference on Systems, Process and Control (ICSPC 2016) , 16-18 December, 2016 , Swiss Garden Hotel & Residences, Melaka, Malaysia. pp. 33-36.. ISBN 978-1-5090-1180-3; 978-150901181-0

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Abstract

Drill path optimization problem is an important problem in holes drilling with computer numerically controlled (CNC) machine. Due to the exponential increase in the number of possible solutions when the number of holes to be drilled increase, the metaheuristic optimization algorithm seems to be a good choice in solving this type of optimization problem. This paper presents a Kalman Filter approach in solving printed circuit board (PCB) routing problem by using the Simulated Kalman Filter (SKF) algorithm. The experimental results are compared with those obtained by swarm intelligence approach, which are the Particle Swarm Optimization (PSO) variants, Ant Colony System (ACS) and Cuckoo Search (CS). The implementation proves to be effortless with good global convergence capability.

Item Type:	Conference or Workshop Item (Speech)
Additional Information:	Conference Paper index by Scopus
Uncontrolled Keywords:	Kalman Filter, SKF, Drill path optimization, PCB, Routing problem
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Prof. Madya Dr. Zuwairi Ibrahim
Date Deposited:	19 Feb 2018 08:07
Last Modified:	16 Oct 2018 03:32
URI:	http://umpir.ump.edu.my/id/eprint/19726
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