Citation
Ab Aziz, Nor Azlina and Ab. Aziz, Kamarulzaman (2014) Synchronous Gravitational Search Algorithm vs Asynchronous Gravitational Search Algorithm: A Statistical Analysis. In: New Trends in Software Methodologies, Tools and Techniques. Frontiers in Artificial Intelligence and Applications, 265 . IOS Press, p. 160169. ISBN 978-1-61499-434-3; 978-1-61499-433-6 Full text not available from this repository.Abstract
Gravitational search algorithm (GSA) is a new member of swarm intelligence algorithms. It stems from Newtonian law of gravity and motion. The performance of synchronous GSA (S-GSA) and asynchronous GSA (A-GSA) is studied here using statistical analysis. The agents in S-GSA are updated synchronously, where the whole population is updated after each member's performance is evaluated. On the other hand, an agent in A-GSA is updated immediately after its performance evaluation. Hence an agent in A-GSA is updated without the need to synchronize with the entire population. Asynchronous update is more attractive from the perspective of parallelization. The results show that both implementations have similar performance.
Item Type: | Book Section |
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Additional Information: | 13th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SoMeT); Langkawi, MALAYSIA; SEP 22-24, 2014 |
Uncontrolled Keywords: | Algorithms |
Subjects: | Q Science > QA Mathematics > QA1-43 General |
Divisions: | Faculty of Engineering and Technology (FET) Faculty of Management (FOM) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 13 Apr 2015 05:39 |
Last Modified: | 19 Aug 2021 05:56 |
URII: | http://shdl.mmu.edu.my/id/eprint/6174 |
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