Oppositional learning prediction operator with jumping rate for Simulated Kalman Filter

• Main Authors: Muhammad, Badaruddin, Ibrahim, Zuwairie, Shapiai, Mohd. Ibrahim, Mohamad, Mohd. Saberi, Mohd. Azmi, Kamil Zakwan, Mat Jusof, Mohd. Falfazli
• Format: Conference or Workshop Item
• Published: 2019
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/97106/; http://dx.doi.org/10.1109/ICCISci.2019.8716382

Simulated Kalman filter (SKF) is among the new generation of metaheuristic optimization algorithm established in 2015. In this study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional lea...