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Simulated kalman filter algorithm with improved accuracy

Mohd Falfazli, Mat Jusof and Ahmad Azwan, Abdul Razak and Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir and Mohd Helmi, Suid and Mohd Ashraf, Ahmad and Zuwairie, Ibrahim (2018) Simulated kalman filter algorithm with improved accuracy. In: 10th National Seminar on Underwater System Technology 2018 (NUSYS’18), 26 - 27 September 2018 , UMP Pekan. pp. 1-6..

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Abstract

This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation stage of SKF to speed up the searching process and gain more chances in find-ing better solutions. Cost function value that represent an accuracy of a solution is considered as the ultimate goal. Every single agent carries an information about the accuracy of a solution in which will be used to compare with other so-lutions from other agents. A solution that has a lower cost function is consid-ered as the best solution. The algorithm is tested with various benchmark func-tions and compared with the original SKF algorithm. Result of the analysis on the accuracy tested on the benchmark functions shows that the proposed algo-rithm outperforms SKF significantly.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Simulated Kalman Filter; Optimization algorithm; CEC2014
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 17 Dec 2018 01:13
Last Modified: 17 Dec 2018 01:13
URI: http://umpir.ump.edu.my/id/eprint/22658
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