Dynamic timetable generator using particle swarm optimization (PSO) method

This paper addresses the usage of Particle Swarm Optimization (PSO) in generating a timetable which the selection of driver and vehicle are based on the concept of PSO. The objectives are simultaneously considered as follow: 1) minimizing the cycle time, 2) regenerate the timetable. Searching for an...

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Main Author:	Chuen, Teh Yung
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/7241/ http://umpir.ump.edu.my/id/eprint/7241/ http://umpir.ump.edu.my/id/eprint/7241/1/Dynamic_Timetable_Generator_Using_Particle_Swarm_Optimization_%28PSO%29_Method.pdf

id	ump-7241
recordtype	eprints
spelling	ump-72412015-03-03T09:34:57Z http://umpir.ump.edu.my/id/eprint/7241/ Dynamic timetable generator using particle swarm optimization (PSO) method Chuen, Teh Yung QA Mathematics This paper addresses the usage of Particle Swarm Optimization (PSO) in generating a timetable which the selection of driver and vehicle are based on the concept of PSO. The objectives are simultaneously considered as follow: 1) minimizing the cycle time, 2) regenerate the timetable. Searching for an optimal solution in such of large sized population will be time consuming and thus by presenting the PSO method is able to select the appropriate driver and vehicle with a shorter period. The timetable that is generated will be more appropriate as regenerating function can handle emergency such as breakdown of vehicle. Besides, during the generating of timetable, it also considers constraints which make the task more challenging. The chosen particle during implementing the PSO method should be chosen with fitness nearest to fifty in this system. Thus, the timetable for transport schedule system can be arranged without clashing of driver or vehicle. 2013 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7241/1/Dynamic_Timetable_Generator_Using_Particle_Swarm_Optimization_%28PSO%29_Method.pdf Chuen, Teh Yung (2013) Dynamic timetable generator using particle swarm optimization (PSO) method. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77154&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Chuen, Teh Yung Dynamic timetable generator using particle swarm optimization (PSO) method
description	This paper addresses the usage of Particle Swarm Optimization (PSO) in generating a timetable which the selection of driver and vehicle are based on the concept of PSO. The objectives are simultaneously considered as follow: 1) minimizing the cycle time, 2) regenerate the timetable. Searching for an optimal solution in such of large sized population will be time consuming and thus by presenting the PSO method is able to select the appropriate driver and vehicle with a shorter period. The timetable that is generated will be more appropriate as regenerating function can handle emergency such as breakdown of vehicle. Besides, during the generating of timetable, it also considers constraints which make the task more challenging. The chosen particle during implementing the PSO method should be chosen with fitness nearest to fifty in this system. Thus, the timetable for transport schedule system can be arranged without clashing of driver or vehicle.
format	Undergraduates Project Papers
author	Chuen, Teh Yung
author_facet	Chuen, Teh Yung
author_sort	Chuen, Teh Yung
title	Dynamic timetable generator using particle swarm optimization (PSO) method
title_short	Dynamic timetable generator using particle swarm optimization (PSO) method
title_full	Dynamic timetable generator using particle swarm optimization (PSO) method
title_fullStr	Dynamic timetable generator using particle swarm optimization (PSO) method
title_full_unstemmed	Dynamic timetable generator using particle swarm optimization (PSO) method
title_sort	dynamic timetable generator using particle swarm optimization (pso) method
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/7241/ http://umpir.ump.edu.my/id/eprint/7241/ http://umpir.ump.edu.my/id/eprint/7241/1/Dynamic_Timetable_Generator_Using_Particle_Swarm_Optimization_%28PSO%29_Method.pdf
first_indexed	2023-09-18T22:03:47Z
last_indexed	2023-09-18T22:03:47Z
_version_	1777414572379996160

Dynamic timetable generator using particle swarm optimization (PSO) method

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