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Conference Paper
Gravity Search Adaptive Algorithm
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- Authors
- Byung-Jae Kwak, Nah-Oak Song, Bum Soo Park, Young-Hoon Kim
- Issue Date
- 2011-12
- Citation
- International Conference on Signal Processing and Communication Systems (ICSPCS) 2011, pp.1-7
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- We introduce a novel Gravity Search adaptive algorithm, which replicates the movement of a ball descending along the inner surface of a bowl filled with liquid. By choosing the appropriate viscosity of the liquid, gravity, and the mass of the ball, the movement of the ball can be controlled to achieve the desired performance. Simulation results comparing the performance of Normalized LMS algorithm and the proposed adaptive algorithm show that the proposed adaptive algorithm has the potential of significant performance advantages over LMS algorithm. © 2011 IEEE.
- KSP Keywords
- Normalized LMS algorithm(NLMS), adaptive algorithm, inner surface, performance advantages, simulation results