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..
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | PSO; Optimization; Big Data Environment; Local Neighbourhood |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 28 Mar 2018 03:39 |
| Last Modified: | 27 Jul 2018 02:03 |
| URI: | http://umpir.ump.edu.my/id/eprint/19973 |
| Download Statistic: | View Download Statistics |
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