An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer

• Main Authors: Nor Hidayati, Abdul Aziz, Nor Azlina, Ab. Aziz, Mohd Falfazli, Mat Jusof, Saifudin, Razali, Zuwairie, Ibrahim, Asrul, Adam, Mohd Ibrahim, Shapiai
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/21376/7/An%20Analysis%20on%20the%20Number%20of%20Agents%20Towards%20the%20Performance1.pdf; http://umpir.ump.edu.my/id/eprint/21376/

This paper presents an analysis of simulated Kalman filter (SKF) optimization algorithm. The SKF algorithm is a population-based optimization algorithm and thus, requires the use of agents to perform a search process. In optimization, usually, different number of agent produces different performance...