@article{Abdul Aziz_Ab. Aziz_Muhammad_Mohd Azmi_Md Yusof_Mohamad_Shapiai_Tsuboi_2019, title={A Tutorial on Single-solution Simulated Kalman Filter}, volume={1}, url={https://journal.ump.edu.my/mekatronika/article/view/4895}, DOI={10.15282/mekatronika.v1i2.4895}, abstractNote={<div class="page" title="Page 1"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>Simulated Kalman Filter (SKF) is an estimation-based optimization algorithm which is established based on the Kalman filtering framework. A variant of SKF which operates using one agent is called single-solution simulated Kalman filter (ssSKF). At present, there is no tutorial been published on ssSKF. One may find that the equations and flowchart of the algorithm is not easy to understand. Hence, this paper provides a tutorial on ssSKF algorithm that emphasizes on a numerical example for easy and intuitive explanations. This tutorial would be important to those who work on the fundamentals and applications of ssSKF as well as to students who are new to optimization research.</p> </div> </div> </div> </div>}, number={2}, journal={MEKATRONIKA}, author={Abdul Aziz, Nor Hidayati and Ab. Aziz, Nor Azlina and Muhammad, Badaruddin and Mohd Azmi, Kamil Zakwan and Md Yusof, Zulkifli and Mohamad, Mohd Saberi and Shapiai, Mohd Ibrahim and Tsuboi, Yusei}, year={2019}, month={Jul.}, pages={33–44} }