A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems

Inspired by the estimation capability of Kalman filter, we have recently introduced a novel population-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, which includes prediction, measure...

Full description

Bibliographic Details
Main Authors:	Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Kamil Zakwan, Mohd Azmi, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Mohd Saberi, Mohamad
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/11528/ http://umpir.ump.edu.my/id/eprint/11528/1/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems.pdf http://umpir.ump.edu.my/id/eprint/11528/7/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems-abstract.pdf

id	ump-11528
recordtype	eprints
spelling	ump-115282018-02-02T03:15:10Z http://umpir.ump.edu.my/id/eprint/11528/ A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Kamil Zakwan, Mohd Azmi Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad TK Electrical engineering. Electronics Nuclear engineering Inspired by the estimation capability of Kalman filter, we have recently introduced a novel population-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, which includes prediction, measurement, and estimation, the global minimum/maximum can be estimated. Measurement process, which is required in Kalman filtering, is mathematically modelled and simulated. Agents communicate among them to update and improve the solution during the search process.Inspired by the bird flocking, particle swarm optimization (PSO) has been introduced in 1994. In PSO, a swarm of agent search the global minimum/maximum by velocity and position updates, which are influenced by current position of agent,current position of agent, personal best, and global best of the swarm. In this research, SKF and PSO are hybridized in such a way that PSO is employed as prediction operator in SKF. The performance of the proposed hybrid SKF-PSO algorithm (SKF-PSO) is compared against SKF and PSO using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the proposed hybrid SKF-PSO is superior than both SKF and PSO algorithm 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11528/1/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11528/7/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems-abstract.pdf Badaruddin, Muhammad and Zuwairie, Ibrahim and Kamarul Hawari, Ghazali and Kamil Zakwan, Mohd Azmi and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz and Mohd Saberi, Mohamad (2015) A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems. In: International Conference on Electrical Control and Computer Engineering 2015, 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Kamil Zakwan, Mohd Azmi Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
description	Inspired by the estimation capability of Kalman filter, we have recently introduced a novel population-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, which includes prediction, measurement, and estimation, the global minimum/maximum can be estimated. Measurement process, which is required in Kalman filtering, is mathematically modelled and simulated. Agents communicate among them to update and improve the solution during the search process.Inspired by the bird flocking, particle swarm optimization (PSO) has been introduced in 1994. In PSO, a swarm of agent search the global minimum/maximum by velocity and position updates, which are influenced by current position of agent,current position of agent, personal best, and global best of the swarm. In this research, SKF and PSO are hybridized in such a way that PSO is employed as prediction operator in SKF. The performance of the proposed hybrid SKF-PSO algorithm (SKF-PSO) is compared against SKF and PSO using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the proposed hybrid SKF-PSO is superior than both SKF and PSO algorithm
format	Conference or Workshop Item
author	Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Kamil Zakwan, Mohd Azmi Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad
author_facet	Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Kamil Zakwan, Mohd Azmi Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad
author_sort	Badaruddin, Muhammad
title	A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
title_short	A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
title_full	A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
title_fullStr	A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
title_full_unstemmed	A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems
title_sort	new hybrid simulated kalman filter and particle swarm optimization for continuous numerical optimization problems
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11528/ http://umpir.ump.edu.my/id/eprint/11528/1/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems.pdf http://umpir.ump.edu.my/id/eprint/11528/7/A%20New%20Hybrid%20Simulated%20Kalman%20Filter%20and%20Particle%20Swarm%20Optimization%20for%20Continuous%20Numerical%20Optimization%20Problems-abstract.pdf
first_indexed	2023-09-18T22:12:23Z
last_indexed	2023-09-18T22:12:23Z
_version_	1777415113193553920

A New Hybrid Simulated Kalman Filter and Particle Swarm Optimization for Continuous Numerical Optimization Problems

Similar Items