Parameter tuning in the single-solution simulated Kalman filter optimizer

Nor Hidayati Abdul Aziz, Zuwairie Ibrahim, Nor Azlina Ab Aziz, Badaruddin Muhammad, Tasiransurini Ab Rahman, Mohd Saberi Mohamad, Suhazri Amrin Rahmad

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Single-solution simulated Kalman filter (ssSKF) is a variant of simulated Kalman filter (SKF) algorithm. Both algorithms employ the well-known Kalman filtering mechanism in an optimization process. Unlike the population-based SKF, the ssSKF operates using one agent. In this paper, parameter tuning of the ssSKF algorithm is presented.

Original languageEnglish
Pages (from-to)48-56
Number of pages9
JournalLecture Notes in Mechanical Engineering
Publication statusPublished - 2020
Externally publishedYes
Event2nd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2019 - Melaka, Malaysia
Duration: Jul 8 2019Jul 8 2019


  • Optimization
  • Simulated Kalman filter

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes


Dive into the research topics of 'Parameter tuning in the single-solution simulated Kalman filter optimizer'. Together they form a unique fingerprint.

Cite this