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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| Format: | Article |
| Language: | English |
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American Scientific Publisher
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22888/1/48.%20Global%20best%20Local%20Neighborhood%20in%20Particle%20Swarm%20Optimization%20in%20Dynamic%20Environment1.pdf |
| _version_ | 1825812352965017600 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:27:53Z |
| format | Article |
| id | UMPir22888 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:27:53Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| record_format | dspace |
| spelling | UMPir228882018-11-22T01:33:47Z 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. (Published) https://doi.org/10.1166/asl.2018.12984 doi: 10.1166/asl.2018.12984 |
| 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 |
| title | 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_short | Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment |
| title_sort | global best local neighborhood in particle swarm optimization in dynamic environment |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/22888/1/48.%20Global%20best%20Local%20Neighborhood%20in%20Particle%20Swarm%20Optimization%20in%20Dynamic%20Environment1.pdf |
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