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Multi-Objective PSO with Passive Congregation for Load Balancing Problem

High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation t...

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Main Authors: Marufuzzaman M., Timu M.A., Sarkar J., Islam A., Rahman L.F., Sidek L.M.
Other Authors: 57205234835
Format: Article
Published: Agora University 2023
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spelling my.uniten.dspace-264912023-05-29T17:11:09Z Multi-Objective PSO with Passive Congregation for Load Balancing Problem Marufuzzaman M. Timu M.A. Sarkar J. Islam A. Rahman L.F. Sidek L.M. 57205234835 57202153630 57290298800 57205026051 36984229900 35070506500 High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation time of HLA and this optimization can be done using the multi-objective evolutionary algorithms (MOEA). Multi-Objective Particle Swarm Optimization (MOPSO) based on crowding distance (CD) is a popular MOEA method used to balance HLA load. In this research, the efficiency of MOPSO-CD is further improved by introducing the passive congregation (PC) method. Several simulation tests are done on this improved MOPSO-CD-PC method and the results showed that in terms of Coverage, Spacing, Non-dominated solutions and Inverted generational distance metrics, the MOPSO-CD-PC performed better than the previous MOPSO-CD algorithm. Hence, it can be a useful tool to optimize the load balancing problem in HLA. � 2021. by the authors. All Rights Reserved. Final 2023-05-29T09:11:09Z 2023-05-29T09:11:09Z 2021 Article 10.15837/ijccc.2021.5.4274 2-s2.0-85116812487 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116812487&doi=10.15837%2fijccc.2021.5.4274&partnerID=40&md5=4611ca4bdfc7c74e4535325232cf9b0c https://irepository.uniten.edu.my/handle/123456789/26491 16 5 1 7 All Open Access, Gold Agora University Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation time of HLA and this optimization can be done using the multi-objective evolutionary algorithms (MOEA). Multi-Objective Particle Swarm Optimization (MOPSO) based on crowding distance (CD) is a popular MOEA method used to balance HLA load. In this research, the efficiency of MOPSO-CD is further improved by introducing the passive congregation (PC) method. Several simulation tests are done on this improved MOPSO-CD-PC method and the results showed that in terms of Coverage, Spacing, Non-dominated solutions and Inverted generational distance metrics, the MOPSO-CD-PC performed better than the previous MOPSO-CD algorithm. Hence, it can be a useful tool to optimize the load balancing problem in HLA. � 2021. by the authors. All Rights Reserved.
author2 57205234835
author_facet 57205234835
Marufuzzaman M.
Timu M.A.
Sarkar J.
Islam A.
Rahman L.F.
Sidek L.M.
format Article
author Marufuzzaman M.
Timu M.A.
Sarkar J.
Islam A.
Rahman L.F.
Sidek L.M.
spellingShingle Marufuzzaman M.
Timu M.A.
Sarkar J.
Islam A.
Rahman L.F.
Sidek L.M.
Multi-Objective PSO with Passive Congregation for Load Balancing Problem
author_sort Marufuzzaman M.
title Multi-Objective PSO with Passive Congregation for Load Balancing Problem
title_short Multi-Objective PSO with Passive Congregation for Load Balancing Problem
title_full Multi-Objective PSO with Passive Congregation for Load Balancing Problem
title_fullStr Multi-Objective PSO with Passive Congregation for Load Balancing Problem
title_full_unstemmed Multi-Objective PSO with Passive Congregation for Load Balancing Problem
title_sort multi-objective pso with passive congregation for load balancing problem
publisher Agora University
publishDate 2023
_version_ 1806428174579400704
score 13.211869

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