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Multi-Objective PSO with Passive Congregation for Load Balancing Problem

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dc.contributor.authorMarufuzzaman M.en_US
dc.contributor.authorTimu M.A.en_US
dc.contributor.authorSarkar J.en_US
dc.contributor.authorIslam A.en_US
dc.contributor.authorRahman L.F.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorid57205234835en_US
dc.contributor.authorid57202153630en_US
dc.contributor.authorid57290298800en_US
dc.contributor.authorid57205026051en_US
dc.contributor.authorid36984229900en_US
dc.contributor.authorid35070506500en_US
dc.date.accessioned2023-05-29T09:11:09Z
dc.date.available2023-05-29T09:11:09Z
dc.date.issued2021
dc.description.abstractHigh-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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.15837/ijccc.2021.5.4274
dc.identifier.epage7
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85116812487
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85116812487&doi=10.15837%2fijccc.2021.5.4274&partnerID=40&md5=4611ca4bdfc7c74e4535325232cf9b0c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26491
dc.identifier.volume16
dc.publisherAgora Universityen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Computers, Communications and Control
dc.titleMulti-Objective PSO with Passive Congregation for Load Balancing Problemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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