Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems

Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-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 and measurement process, every agen...

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Main Authors: Zulkifli, Md. Yusof, Zuwairie, Ibrahim, Ismail, Ibrahim, Kamil Zakwan, Mohd Azmi, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd. Aziz, Mohd Saberi, Mohamad
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Language:English
English
Published: Asian Research Publishing Network (ARPN) 2016
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Online Access:http://umpir.ump.edu.my/id/eprint/11530/1/Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Combinatorial%20Optimization%20Problems.pdf
http://umpir.ump.edu.my/id/eprint/11530/7/fkee-2016-zul-Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm1.pdf
http://umpir.ump.edu.my/id/eprint/11530/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4036.pdf
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Institution: Universiti Malaysia Pahang
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spelling my.ump.umpir.115302017-10-30T02:30:31Z http://umpir.ump.edu.my/id/eprint/11530/ Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems Zulkifli, Md. Yusof Zuwairie, Ibrahim Ismail, Ibrahim 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 estimation-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 and measurement process, every agent estimates the global minimum/maximum.Measurement, 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. However, the SKF is only capable to solve continuous numerical optimization problem. In order to solve discrete optimization problems, the SKF algorithm is combined with an angle modulated approach. The performance of the proposed angle modulated SKF (AMSKF) is compared against two other discrete population-based optimization algorithms,namely, binary particle swarm optimization (BPSO) and binary gravitational search algorithm (BGSA). A set of traveling salesman problems are used to evaluate the performance of the proposed AMSKF. Based on the analysis of experimental results, we found that the proposed AMSKF is as competitive as BGSA but the BPSO is superior than the both AMSKF and BGSA Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11530/1/Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Combinatorial%20Optimization%20Problems.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11530/7/fkee-2016-zul-Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm1.pdf Zulkifli, Md. Yusof and Zuwairie, Ibrahim and Ismail, Ibrahim and Kamil Zakwan, Mohd Azmi and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd. Aziz and Mohd Saberi, Mohamad (2016) Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems. ARPN Journal of Engineering and Applied Sciences, 11 (7). 4854 -4859. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4036.pdf
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zulkifli, Md. Yusof
Zuwairie, Ibrahim
Ismail, Ibrahim
Kamil Zakwan, Mohd Azmi
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd. Aziz
Mohd Saberi, Mohamad
Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
description Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-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 and measurement process, every agent estimates the global minimum/maximum.Measurement, 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. However, the SKF is only capable to solve continuous numerical optimization problem. In order to solve discrete optimization problems, the SKF algorithm is combined with an angle modulated approach. The performance of the proposed angle modulated SKF (AMSKF) is compared against two other discrete population-based optimization algorithms,namely, binary particle swarm optimization (BPSO) and binary gravitational search algorithm (BGSA). A set of traveling salesman problems are used to evaluate the performance of the proposed AMSKF. Based on the analysis of experimental results, we found that the proposed AMSKF is as competitive as BGSA but the BPSO is superior than the both AMSKF and BGSA
format Article
author Zulkifli, Md. Yusof
Zuwairie, Ibrahim
Ismail, Ibrahim
Kamil Zakwan, Mohd Azmi
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd. Aziz
Mohd Saberi, Mohamad
author_facet Zulkifli, Md. Yusof
Zuwairie, Ibrahim
Ismail, Ibrahim
Kamil Zakwan, Mohd Azmi
Nor Azlina, Ab. Aziz
Nor Hidayati, Abd. Aziz
Mohd Saberi, Mohamad
author_sort Zulkifli, Md. Yusof
title Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
title_short Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
title_full Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
title_fullStr Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
title_full_unstemmed Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
title_sort angle modulated simulated kalman filter algorithm for combinatorial optimization problems
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/11530/1/Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Combinatorial%20Optimization%20Problems.pdf
http://umpir.ump.edu.my/id/eprint/11530/7/fkee-2016-zul-Angle%20Modulated%20Simulated%20Kalman%20Filter%20Algorithm1.pdf
http://umpir.ump.edu.my/id/eprint/11530/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4036.pdf
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