Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA

Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA

This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA), and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation c...

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Main Authors: Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamil Zakwan, Mohd Azmi, Khairul Hamimah, Abas, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Mohd Saberi, Mohamad
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/15724/
http://umpir.ump.edu.my/id/eprint/15724/
http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf
id ump-15724
recordtype eprints
spelling ump-157242017-08-22T07:09:43Z http://umpir.ump.edu.my/id/eprint/15724/ Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA Badaruddin, Muhammad Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Khairul Hamimah, Abas Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad TK Electrical engineering. Electronics Nuclear engineering This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA), and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation capability of Kalman filter. Every agent in SKF is regarded as a Kalman filter. The performance of the hybrid algorithms (SKF-GSA and SKF-PSO) is compared using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the SKF-PSO performs the best among all. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf Badaruddin, Muhammad and Zuwairie, Ibrahim and Kamil Zakwan, Mohd Azmi and Khairul Hamimah, Abas and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz and Mohd Saberi, Mohamad (2016) Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA. In: National Conference For Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang, Pekan. pp. 865-874.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Badaruddin, Muhammad
Zuwairie, Ibrahim
Kamil Zakwan, Mohd Azmi
Khairul Hamimah, Abas
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd Aziz
Mohd Saberi, Mohamad
Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
description This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA), and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation capability of Kalman filter. Every agent in SKF is regarded as a Kalman filter. The performance of the hybrid algorithms (SKF-GSA and SKF-PSO) is compared using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the SKF-PSO performs the best among all.
format Conference or Workshop Item
author Badaruddin, Muhammad
Zuwairie, Ibrahim
Kamil Zakwan, Mohd Azmi
Khairul Hamimah, Abas
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd Aziz
Mohd Saberi, Mohamad
author_facet Badaruddin, Muhammad
Zuwairie, Ibrahim
Kamil Zakwan, Mohd Azmi
Khairul Hamimah, Abas
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd Aziz
Mohd Saberi, Mohamad
author_sort Badaruddin, Muhammad
title Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
title_short Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
title_full Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
title_fullStr Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
title_full_unstemmed Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
title_sort performance evaluation of hybrid skf algorithms: hybrid skf-pso and hybrid skf-gsa
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15724/
http://umpir.ump.edu.my/id/eprint/15724/
http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf
first_indexed 2023-09-18T22:20:42Z
last_indexed 2023-09-18T22:20:42Z
_version_ 1777415636828291072

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