Gravity Search adaptive algorithm
Byung-Jae Kwak, Nah-Oak Song, Bumsoo Park, Young-Hoon Kim · 2011
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.