Brief paper: A swarm intelligence approach to the synthesis of two-dimensional IIR filters
Engineering Applications of Artificial Intelligence
A particle swarm optimization approach to nonlinear rational filter modeling
Expert Systems with Applications: An International Journal
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
Artificial immune algorithm for IIR filter design
Engineering Applications of Artificial Intelligence
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A prototype classifier based on gravitational search algorithm
Applied Soft Computing
Chaotic secure communication based on a gravitational search algorithm filter
Engineering Applications of Artificial Intelligence
A chaotic digital secure communication based on a modified gravitational search algorithm filter
Information Sciences: an International Journal
A modified gravitational search algorithm for slope stability analysis
Engineering Applications of Artificial Intelligence
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Bacteria foraging optimisation algorithm for optimal FIR filter design
International Journal of Bio-Inspired Computation
A new design method using opposition-based BAT algorithm for IIR system identification problem
International Journal of Bio-Inspired Computation
A swarm optimization algorithm inspired in the behavior of the social-spider
Expert Systems with Applications: An International Journal
A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design
International Journal of Swarm Intelligence Research
A discrete gravitational search algorithm for solving combinatorial optimization problems
Information Sciences: an International Journal
International Journal of Hybrid Intelligent Systems
International Journal of Hybrid Intelligent Systems
Feature subset selection using improved binary gravitational search algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
This paper is devoted to the presentation of a new linear and nonlinear filter modeling based on a gravitational search algorithm (GSA). To do this, unknown filter parameters are considered as a vector to be optimized. Examples of infinite impulse response (IIR) filter design, as well as rational nonlinear filter, are given. To verify the effectiveness of the proposed GSA based filter modeling, different sets of initial population with the presence of different measurable noises are given and tested in simulations. Genetic algorithm (GA) and particle swarm optimization (PSO) are also used to model the same examples and some simulation results are compared. Obtained results confirm the efficiency of the proposed method.