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dc.contributor.authorHameed, Ibrahim
dc.contributor.authorBye, Robin Trulssen
dc.contributor.authorOsen, Ottar
dc.date.accessioned2018-01-23T12:51:36Z
dc.date.available2018-01-23T12:51:36Z
dc.date.created2017-02-16T14:29:18Z
dc.date.issued2016
dc.identifier.isbn978-1-4799-7560-0
dc.identifier.urihttp://hdl.handle.net/11250/2479093
dc.description.abstractIn this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more directions and vertically. Designing and building offshore cranes is a very complex process. It depends on the configuration of a large set of design parameters and is characterized by increased workability and functionality for the owner and cost effectiveness in the total cost of ownership. In an attempt to reduce time and cost involved in the design process, this paper defines a best set of design parameters and uses GWO for the automatic configuration of this set of parameters in a manner that increases the maximum safe working load of the crane and reduces its total weight. Results are verified by a comparative study with other Evolutionary Algorithms (EAs). Results show that the GWO algorithm is able to provide very competitive results compared to these well-known meta-heuristicsnb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartofProc. of IEEE Symposium Series on Computational Intelligence
dc.titleGrey wolf optimizer (GWO) for automated offshore Crane designnb_NO
dc.typeChapternb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/SSCI.2016.7849998
dc.identifier.cristin1451309
dc.description.localcode© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,55,0
cristin.unitnameInstitutt for IKT og realfag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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