Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.enconman.2010.08.016
DC FieldValue
dc.titleAn Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms
dc.contributor.authorYadav, P.
dc.contributor.authorKumar, R.
dc.contributor.authorPanda, S.K.
dc.contributor.authorChang, C.S.
dc.date.accessioned2014-06-17T02:38:16Z
dc.date.available2014-06-17T02:38:16Z
dc.date.issued2011-02
dc.identifier.citationYadav, P., Kumar, R., Panda, S.K., Chang, C.S. (2011-02). An Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms. Energy Conversion and Management 52 (2) : 893-902. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enconman.2010.08.016
dc.identifier.issn01968904
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55023
dc.description.abstractHarmony Search (HS) algorithm is music based meta-heuristic optimization method which is analogous with the music improvisation process where musician continue to polish the pitches in order to obtain better harmony. The paper focuses on the optimal scheduling of the generators to reduce the fuel consumption in the oil rig platform. The accurate modeling of the specific fuel consumption is significant in this optimization. The specific fuel consumption has been modeled using cubic spline interpolation. The SFC curve is non-linear and discrete in nature, hence conventional methods fail to give optimal solution. HS algorithm has been used for optimal scheduling of the generators of both equal and unequal rating. Furthermore an Improved Harmony Search (IHS) method for generating new solution vectors that enhances accuracy and convergence rate of HS has been employed. The paper also focuses on the impacts of constant parameters on Harmony Search algorithm. Numerical results show that the IHS method has good convergence property. Moreover, the fuel consumption for IHS algorithm is lower when compared to HS and other heuristic or deterministic methods and is a powerful search algorithm for various engineering optimization problems. © 2010 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.enconman.2010.08.016
dc.sourceScopus
dc.subjectCubic spline interpolation
dc.subjectGenetic algorithm
dc.subjectHarmony Search (HS)
dc.subjectMeta-heuristic
dc.subjectParticle Swarm Optimization (PSO)
dc.subjectSpecific fuel consumption (SFC)
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.enconman.2010.08.016
dc.description.sourcetitleEnergy Conversion and Management
dc.description.volume52
dc.description.issue2
dc.description.page893-902
dc.description.codenECMAD
dc.identifier.isiut000285485100011
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