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Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation

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dc.citedby19
dc.contributor.authorHossain M.S.en_US
dc.contributor.authorMohd Sidek L.B.en_US
dc.contributor.authorMarufuzzaman M.en_US
dc.contributor.authorZawawi M.H.en_US
dc.contributor.authorid55579596900en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid57205234835en_US
dc.contributor.authorid39162217600en_US
dc.date.accessioned2023-05-29T06:55:41Z
dc.date.available2023-05-29T06:55:41Z
dc.date.issued2018
dc.description.abstractParticle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. This research modified the particle updating process of the standard PSO algorithm by including the passive congregation (PC) theory. The passive congregation theory of natural being's social behaviour is adopted to updated the standard PSO algorithm and used to develop and optimise a reservoir release policy for monthly basis. The inflow data to the dam/reservoir has categorised into three different categories (High, medium and low). The problem is formulated on correspondence to the release and capacity constraints. Water deficit from the release is aimed to be minimised and formulated as the main objective function. Monthly releases are taken as the main objective variables and are essentially control the water deficit of the process. The standard form of PSO then compared with the updated version and the results is analysed by adopting different performance measuring indicators such as reliability, vulnerability and resilience. The results showed that the updated PSO-PC is more capable of the standard PSO (5% more reliable; 0.02 less vulnerable and 1.5 more resilience) in providing optimum results for a reservoir system. � 2018 Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i4.35.22767
dc.identifier.epage387
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85059225262
dc.identifier.spage383
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059225262&doi=10.14419%2fijet.v7i4.35.22767&partnerID=40&md5=29c46b23881c2de118d30a8e28a1a178
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24117
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titlePassive congregation theory for particle swarm optimization (PSO): An application in reservoir system operationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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