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http://hdl.handle.net/123456789/392| Title: | Parameter tuning in the single-solution simulated Kalman filter optimizer | Authors: | Abdul Aziz N.H. Ibrahim Z. Ab Aziz N.A. Muhammad B. Ab Rahman T. Mohamad, MS Rahmad S.A. |
Keywords: | Optimization;Simulated Kalman filter | Issue Date: | 2020 | Publisher: | Springer Nature Singapore Pte Ltd. | Journal: | Lecture Notes in Mechanical Engineering | Conference: | 2nd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2019 | Abstract: | 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. |
Description: | Scopus |
URI: | http://hdl.handle.net/123456789/392 | ISSN: | 21954356 | DOI: | 10.1007/978-981-13-9539-0_5 |
| Appears in Collections: | Faculty of Bioengineering and Technology - Proceedings |
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