A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems

• Main Authors: Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Kamil Zakwan, Mohd Azmi, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Mohd Saberi, Mohamad
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/11528/1/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems.pdf; http://umpir.ump.edu.my/id/eprint/11528/7/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems-abstract.pdf; http://umpir.ump.edu.my/id/eprint/11528/

Inspired by the estimation capability of Kalman filter, we have recently introduced a novel population-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, which includes prediction, measure...