A Kalman Filter Approach to PCB Drill Path Optimization Problem

A Kalman Filter Approach to PCB Drill Path Optimization Problem

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 go...

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Main Authors: Abdul Aziz, Nor Hidayati, Zuwairie, Ibrahim, Ab. Aziz, Nor Azlina, Saifudin, Razali, Abas, Khairul Hamimah, Mohamad, Mohd Saberi
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/19726/
http://umpir.ump.edu.my/id/eprint/19726/
http://umpir.ump.edu.my/id/eprint/19726/1/Abdul%20Aziz%20et%20al.%20-%20A%20Kalman%20Filter%20Approach%20to%20PCB%20Drill%20Path%20Optimization%20Problem%20-%20IEEE%20Conference%20on%20Systems%2C%20Process%20and%20Control%20%28I.pdf
id ump-19726
recordtype eprints
spelling ump-197262018-10-16T03:32:11Z http://umpir.ump.edu.my/id/eprint/19726/ A Kalman Filter Approach to PCB Drill Path Optimization Problem Abdul Aziz, Nor Hidayati Zuwairie, Ibrahim Ab. Aziz, Nor Azlina Saifudin, Razali Abas, Khairul Hamimah Mohamad, Mohd Saberi TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical and Electronics Engineers 2017-05-08 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19726/1/Abdul%20Aziz%20et%20al.%20-%20A%20Kalman%20Filter%20Approach%20to%20PCB%20Drill%20Path%20Optimization%20Problem%20-%20IEEE%20Conference%20on%20Systems%2C%20Process%20and%20Control%20%28I.pdf 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 http://ieeexplore.ieee.org/document/7920699/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdul Aziz, Nor Hidayati
Zuwairie, Ibrahim
Ab. Aziz, Nor Azlina
Saifudin, Razali
Abas, Khairul Hamimah
Mohamad, Mohd Saberi
A Kalman Filter Approach to PCB Drill Path Optimization Problem
description 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.
format Conference or Workshop Item
author Abdul Aziz, Nor Hidayati
Zuwairie, Ibrahim
Ab. Aziz, Nor Azlina
Saifudin, Razali
Abas, Khairul Hamimah
Mohamad, Mohd Saberi
author_facet Abdul Aziz, Nor Hidayati
Zuwairie, Ibrahim
Ab. Aziz, Nor Azlina
Saifudin, Razali
Abas, Khairul Hamimah
Mohamad, Mohd Saberi
author_sort Abdul Aziz, Nor Hidayati
title A Kalman Filter Approach to PCB Drill Path Optimization Problem
title_short A Kalman Filter Approach to PCB Drill Path Optimization Problem
title_full A Kalman Filter Approach to PCB Drill Path Optimization Problem
title_fullStr A Kalman Filter Approach to PCB Drill Path Optimization Problem
title_full_unstemmed A Kalman Filter Approach to PCB Drill Path Optimization Problem
title_sort kalman filter approach to pcb drill path optimization problem
publisher Institute of Electrical and Electronics Engineers
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19726/
http://umpir.ump.edu.my/id/eprint/19726/
http://umpir.ump.edu.my/id/eprint/19726/1/Abdul%20Aziz%20et%20al.%20-%20A%20Kalman%20Filter%20Approach%20to%20PCB%20Drill%20Path%20Optimization%20Problem%20-%20IEEE%20Conference%20on%20Systems%2C%20Process%20and%20Control%20%28I.pdf
first_indexed 2023-09-18T22:28:16Z
last_indexed 2023-09-18T22:28:16Z
_version_ 1777416112548347904

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