Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment

Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment

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

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Main Authors: Zalili, Musa, Nurul Izzatie Husna, Fauzi, Mohd Hafiz, Mohd Hassin, M. N. M., Kahar, Watada, Junzo
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/1/48.%20Global%20best%20Local%20Neighborhood%20in%20Particle%20Swarm%20Optimization%20in%20Dynamic%20Environment1.pdf
id ump-22888
recordtype eprints
spelling ump-228882018-11-22T01:33:47Z http://umpir.ump.edu.my/id/eprint/22888/ Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment Zalili, Musa Nurul Izzatie Husna, Fauzi Mohd Hafiz, Mohd Hassin M. N. M., Kahar Watada, Junzo QA75 Electronic computers. Computer science The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in a dynamic environment. Based on the experimental results of 50 datasets, show that GbLN-PSO has the ability to find the quality solution in a dynamic environment. American Scientific Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22888/1/48.%20Global%20best%20Local%20Neighborhood%20in%20Particle%20Swarm%20Optimization%20in%20Dynamic%20Environment1.pdf Zalili, Musa and Nurul Izzatie Husna, Fauzi and Mohd Hafiz, Mohd Hassin and M. N. M., Kahar and Watada, Junzo (2018) Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment. Advanced Science Letters, 24 (10). pp. 7593-7597. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12984 doi: 10.1166/asl.2018.12984
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zalili, Musa
Nurul Izzatie Husna, Fauzi
Mohd Hafiz, Mohd Hassin
M. N. M., Kahar
Watada, Junzo
Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
description The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the optimum solution in a dynamic environment. Based on the experimental results of 50 datasets, show that GbLN-PSO has the ability to find the quality solution in a dynamic environment.
format Article
author Zalili, Musa
Nurul Izzatie Husna, Fauzi
Mohd Hafiz, Mohd Hassin
M. N. M., Kahar
Watada, Junzo
author_facet Zalili, Musa
Nurul Izzatie Husna, Fauzi
Mohd Hafiz, Mohd Hassin
M. N. M., Kahar
Watada, Junzo
author_sort Zalili, Musa
title Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
title_short Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
title_full Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
title_fullStr Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
title_full_unstemmed Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
title_sort global best local neighborhood in particle swarm optimization in dynamic environment
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/
http://umpir.ump.edu.my/id/eprint/22888/1/48.%20Global%20best%20Local%20Neighborhood%20in%20Particle%20Swarm%20Optimization%20in%20Dynamic%20Environment1.pdf
first_indexed 2023-09-18T22:34:02Z
last_indexed 2023-09-18T22:34:02Z
_version_ 1777416475638759424

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