| Title: | GS11-5 A Hybrid Simulated Kalman Filter - Gravitational Search Algorithm (SKF-GSA) |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 707-710 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.GS11-5 |
| Author(s): | Badaruddin Muhammad, Zuwairie Ibrahim, Mohd Falfazli Mat Jusof, Nor Azlina Ab Aziz, Nor Hidayati Abd Aziz, Norrima Mokhtar |
| Publication Date: | January 19, 2017 |
| Keywords: | hybrid, simulated Kalman filter, gravitational search algorithm, CEC2014 benchmark problem |
| Abstract: | In this paper, simulated Kalman filter (SKF) and gravitational search algorithm (GSA) are hybridized in such a way that GSA is employed as prediction operator in SKF. The performance is compared using CEC2014 benchmark dataset. The proposed hybrid SKF-GSA shown to perform better than individual SKF and GSA algorithm. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS11/GS11-5.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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