Publication:
Hybrid or modified optimization algorithms for dam reservoir water operation: A review

dc.contributor.authorNurhikmah F.en_US
dc.contributor.authorHossain M.S.en_US
dc.contributor.authorZawawi M.H.en_US
dc.contributor.authorid57204810651en_US
dc.contributor.authorid55579596900en_US
dc.contributor.authorid39162217600en_US
dc.date.accessioned2023-05-29T06:50:26Z
dc.date.available2023-05-29T06:50:26Z
dc.date.issued2018
dc.description.abstractDetermination of optimum policy for scarce water resources plays an important role in the sustainable development of any region. Generally, optimal operation of reservoir is one of the challenging problems for water resources systems. In other words, optimal operation of reservoir plays an important role for water resources planning and management. The major goal of reservoir operation optimization problem is to decide how much water should be released and how much should be stored for future uses. In the last decades, the computational researchers have been increasingly interested to the natural sciences, and especially biology, as source of modeling paradigms. Many research areas are massively influenced by the behavior of various biological entities and phenomena. It gave birth to most of population-based Metaheuristics such as Evolutionary Algorithms (EAs), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) etc. � 2018 Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo20253
dc.identifier.doi10.1063/1.5066894
dc.identifier.scopus2-s2.0-85057231049
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057231049&doi=10.1063%2f1.5066894&partnerID=40&md5=4f852769896cc81d45763fa3cd9ff35c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23602
dc.identifier.volume2030
dc.publisherAmerican Institute of Physics Inc.en_US
dc.sourceScopus
dc.sourcetitleAIP Conference Proceedings
dc.titleHybrid or modified optimization algorithms for dam reservoir water operation: A reviewen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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