An oppositional learning prediction operator for simulated Kalman filter
Simulated Kalman filter (SKF) is a recent metaheuristic optimization algorithm established in
2015. In the present study, we introduce a prediction operator in SKF to prolong its …
2015. In the present study, we introduce a prediction operator in SKF to prolong its …
[PDF][PDF] Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems
Abstract Simulated Kalman Filter (SKF) is a population-based optimization algorithm which
exploits the estimation capability of Kalman filter to search for a solution in a continuous …
exploits the estimation capability of Kalman filter to search for a solution in a continuous …
[PDF][PDF] Distance evaluated simulated kalman filter algorithm for peak classification of EEG signals
A Adam, B Muhammad - International Journal of Simulation …, 2018 - researchgate.net
In peak classification of electroencephalogram (EEG) signals, angle modulated simulated
Kalman filter (AMSKF) and binary simulated Kalman filter (BSKF) algorithms have been …
Kalman filter (AMSKF) and binary simulated Kalman filter (BSKF) algorithms have been …
[PDF][PDF] A Simulated Kalman Filter Optimizer with White Hole Operator
The simulated Kalman filter (SKF) is a population-based optimization algorithm that was
developed based on a well-known estimator called Kalman filter. Meanwhile, a white hole …
developed based on a well-known estimator called Kalman filter. Meanwhile, a white hole …