Particle swarm optimization (PSO) for CNC route problem

The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. In this project, the problem of CNC machine can be identifying by routing problem which it become more complicated to solve without use of any optimization meth...

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Main Author:	Nur Azia Azwani, Ismail
Format:	Undergraduates Project Papers
Language:	English
Published:	2002
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6337/ http://umpir.ump.edu.my/id/eprint/6337/ http://umpir.ump.edu.my/id/eprint/6337/1/NUR_AZIA_AZWANI_BINTI_ISMAIL.PDF

id	ump-6337
recordtype	eprints
spelling	ump-63372015-03-03T09:29:38Z http://umpir.ump.edu.my/id/eprint/6337/ Particle swarm optimization (PSO) for CNC route problem Nur Azia Azwani, Ismail TK Electrical engineering. Electronics Nuclear engineering The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. In this project, the problem of CNC machine can be identifying by routing problem which it become more complicated to solve without use of any optimization method. The mathematical equation become more complexes and it will be difficult to solve using manual calculation without any optimization technique or algorithm in this project. We often see many of the method of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing Algorithm (SAA) and PSO are used for any optimization problems. Basically, this project is mainly concerned on Particle Swarm Optimization (PS 0) to optimize the routing of CNC machine. The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. In addition, the software Microsoft Visual Basic 6.0 has been used which is provide a graphic user interface (GUI) for the user to determine the coordinate of holes (particles) and desired parameters at the search space given. The user can also monitor the result and performance of the system through this software. This software will optimize the result which is to determine the path and time to complete the drilling process. In t the end of this project, it can be concluded that the Particle Swarm Optimization (PSO) method can be used and available to apply in the CNC Route Problem. 2002-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6337/1/NUR_AZIA_AZWANI_BINTI_ISMAIL.PDF Nur Azia Azwani, Ismail (2002) Particle swarm optimization (PSO) for CNC route problem. Faculty of Electrical & Electronics Engineering , Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:75413&theme=UMP2
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 Nur Azia Azwani, Ismail Particle swarm optimization (PSO) for CNC route problem
description	The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. In this project, the problem of CNC machine can be identifying by routing problem which it become more complicated to solve without use of any optimization method. The mathematical equation become more complexes and it will be difficult to solve using manual calculation without any optimization technique or algorithm in this project. We often see many of the method of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing Algorithm (SAA) and PSO are used for any optimization problems. Basically, this project is mainly concerned on Particle Swarm Optimization (PS 0) to optimize the routing of CNC machine. The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. In addition, the software Microsoft Visual Basic 6.0 has been used which is provide a graphic user interface (GUI) for the user to determine the coordinate of holes (particles) and desired parameters at the search space given. The user can also monitor the result and performance of the system through this software. This software will optimize the result which is to determine the path and time to complete the drilling process. In t the end of this project, it can be concluded that the Particle Swarm Optimization (PSO) method can be used and available to apply in the CNC Route Problem.
format	Undergraduates Project Papers
author	Nur Azia Azwani, Ismail
author_facet	Nur Azia Azwani, Ismail
author_sort	Nur Azia Azwani, Ismail
title	Particle swarm optimization (PSO) for CNC route problem
title_short	Particle swarm optimization (PSO) for CNC route problem
title_full	Particle swarm optimization (PSO) for CNC route problem
title_fullStr	Particle swarm optimization (PSO) for CNC route problem
title_full_unstemmed	Particle swarm optimization (PSO) for CNC route problem
title_sort	particle swarm optimization (pso) for cnc route problem
publishDate	2002
url	http://umpir.ump.edu.my/id/eprint/6337/ http://umpir.ump.edu.my/id/eprint/6337/ http://umpir.ump.edu.my/id/eprint/6337/1/NUR_AZIA_AZWANI_BINTI_ISMAIL.PDF
first_indexed	2023-09-18T22:02:00Z
last_indexed	2023-09-18T22:02:00Z
_version_	1777414460911124480

Particle swarm optimization (PSO) for CNC route problem

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