Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment

The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, in this paper we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in dynamic environment...

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Main Authors:	Zalili, Musa, M. N. M., Kahar, Mohd Hafiz, Mohd Hassin, Rohani, Abu Bakar
Format:	Conference or Workshop Item
Language:	English
Published:	Faculty of Computer System & Software Engineering 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19973/ http://umpir.ump.edu.my/id/eprint/19973/ http://umpir.ump.edu.my/id/eprint/19973/1/Global%20best%20Local%20Neighbourhood%20in%20Particle%20Swarm.pdf

id	ump-19973
recordtype	eprints
spelling	ump-199732018-07-27T02:03:30Z http://umpir.ump.edu.my/id/eprint/19973/ Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment Zalili, Musa M. N. M., Kahar Mohd Hafiz, Mohd Hassin Rohani, Abu Bakar QA76 Computer software The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, in this paper we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in dynamic environment. Based on the experimental results of 50 datasets, show that GbLN-PSO has the ability to find the quality solution in dynamic environment. Faculty of Computer System & Software Engineering 2017-11 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19973/1/Global%20best%20Local%20Neighbourhood%20in%20Particle%20Swarm.pdf Zalili, Musa and M. N. M., Kahar and Mohd Hafiz, Mohd Hassin and Rohani, Abu Bakar (2017) Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment. In: The 5th International Conference on Software Engineering & Computer System (ICSECS' 17), 22-24 November 2017 , Adya Hotel, Pulau Langkawi, Malaysia. p. 76.. http://icsecs.ump.edu.my/index.php/en/program/program-book
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Zalili, Musa M. N. M., Kahar Mohd Hafiz, Mohd Hassin Rohani, Abu Bakar Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
description	The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, in this paper we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in dynamic environment. Based on the experimental results of 50 datasets, show that GbLN-PSO has the ability to find the quality solution in dynamic environment.
format	Conference or Workshop Item
author	Zalili, Musa M. N. M., Kahar Mohd Hafiz, Mohd Hassin Rohani, Abu Bakar
author_facet	Zalili, Musa M. N. M., Kahar Mohd Hafiz, Mohd Hassin Rohani, Abu Bakar
author_sort	Zalili, Musa
title	Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
title_short	Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
title_full	Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
title_fullStr	Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
title_full_unstemmed	Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
title_sort	global best local neighbourhood in particle swarm optimization for big data environment
publisher	Faculty of Computer System & Software Engineering
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19973/ http://umpir.ump.edu.my/id/eprint/19973/ http://umpir.ump.edu.my/id/eprint/19973/1/Global%20best%20Local%20Neighbourhood%20in%20Particle%20Swarm.pdf
first_indexed	2023-09-18T22:28:38Z
last_indexed	2023-09-18T22:28:38Z
_version_	1777416135887552512

Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment

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