Four Different Methods to Hybrid Simulated Kalman Filter (SKF) with Particle Swarm Optimization (PSO)

• Main Authors: Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamil Zakwan, Mohd Azmi, Khairul Hamimah, Abas, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Mohd Saberi, Mohamad
• Format: Conference or Workshop Item
• Language: English
• Published: Universiti Malaysia Pahang 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/15726/1/P114%20pg843-853.pdf; http://umpir.ump.edu.my/id/eprint/15726/; http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip

This paper presents a performance evaluation of a new hybrid Simulated Kalman Filter and Particle Swarm Optimization (SKFPSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation capability of Kalman filter.Every agent in SKF is regarded as a...