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Ant colony optimization (ACO) algorithm for CNC route problem

Printed Circuit Boards (PCB) have copper tracks connecting the holes where the components are placed. They are designed specially for each circuit and makes constructive very easy without any wires. The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. However,...

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Main Author: Wan Nur Farhanah , Wan Zakaria
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/7739/1/WAN_NUR_FARHANAH_BT_WAN_ZAKARIA.PDF
http://umpir.ump.edu.my/id/eprint/7739/
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spelling my.ump.umpir.77392021-06-17T01:30:22Z http://umpir.ump.edu.my/id/eprint/7739/ Ant colony optimization (ACO) algorithm for CNC route problem Wan Nur Farhanah , Wan Zakaria TK Electrical engineering. Electronics Nuclear engineering Printed Circuit Boards (PCB) have copper tracks connecting the holes where the components are placed. They are designed specially for each circuit and makes constructive very easy without any wires. The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. This project proposes a new optimization technique which applies ant behavior, for finding the optimal route in PCB holes drilling process. The amount of phenomenon on the shortest path proves that ACO-based approach is capable to optimize the route taken for CNC machine in order to drill the holes on PCB. This project is about to develop a software which applying ACO algorithm in order to calculate the shortest path available that can reduce the time taken to drill the entire hole of PCB. The GUT will be display the shortest path that should be taken by user and give user authority to manipulate the coordinate based on the requirement. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7739/1/WAN_NUR_FARHANAH_BT_WAN_ZAKARIA.PDF Wan Nur Farhanah , Wan Zakaria (2012) Ant colony optimization (ACO) algorithm for CNC route problem. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Nur Farhanah , Wan Zakaria
Ant colony optimization (ACO) algorithm for CNC route problem
description Printed Circuit Boards (PCB) have copper tracks connecting the holes where the components are placed. They are designed specially for each circuit and makes constructive very easy without any wires. The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. This project proposes a new optimization technique which applies ant behavior, for finding the optimal route in PCB holes drilling process. The amount of phenomenon on the shortest path proves that ACO-based approach is capable to optimize the route taken for CNC machine in order to drill the holes on PCB. This project is about to develop a software which applying ACO algorithm in order to calculate the shortest path available that can reduce the time taken to drill the entire hole of PCB. The GUT will be display the shortest path that should be taken by user and give user authority to manipulate the coordinate based on the requirement.
format Undergraduates Project Papers
author Wan Nur Farhanah , Wan Zakaria
author_facet Wan Nur Farhanah , Wan Zakaria
author_sort Wan Nur Farhanah , Wan Zakaria
title Ant colony optimization (ACO) algorithm for CNC route problem
title_short Ant colony optimization (ACO) algorithm for CNC route problem
title_full Ant colony optimization (ACO) algorithm for CNC route problem
title_fullStr Ant colony optimization (ACO) algorithm for CNC route problem
title_full_unstemmed Ant colony optimization (ACO) algorithm for CNC route problem
title_sort ant colony optimization (aco) algorithm for cnc route problem
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/7739/1/WAN_NUR_FARHANAH_BT_WAN_ZAKARIA.PDF
http://umpir.ump.edu.my/id/eprint/7739/
_version_ 1703960745382772736
score 13.211869

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