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dc.contributor.convenorAmerican Society of Civil Engineers (ASCE) in collaboration withen_AU
dc.contributor.authorIslam, MD Mainulen_US
dc.contributor.authorMohamed, Sherifen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorHugues Rivard, Hani Melhem and Edmond Mirescoen_US
dc.date.accessioned2017-05-03T13:19:07Z
dc.date.available2017-05-03T13:19:07Z
dc.date.issued2006en_US
dc.date.modified2009-10-14T22:15:06Z
dc.identifier.urihttp://hdl.handle.net/10072/13130
dc.description.abstractInvestments into large, green-field infrastructure projects under build-operate-transfer arrangements are challenging, and present complex issues for potential project promoters. To demonstrate, during the tendering stage, the two main concerns for project promoters are ensuring a certain level of profit margin, and making the financial proposal as attractive as possible to the client. Hence, from the project promoter's point of view, a state of optimality exists between selections of the right combination of key financial factors with appropriate values. Prior research in this area is limited, and has only partially addressed this optimization issue in a fragmented fashion. This paper provides a novel approach by integrating the leading financial elements pertaining to capital budgeting and project financing aspects, which in turn ensures optimum financial viability to promoters. Optimality equations and constraints, based on discounted cash flow analysis are developed, and the non-linear behavior of the objective function is accounted for. Finally, a genetic algorithms-based financial optimization model is developed to reach the near-optimal solution for maximizing the winning potential of the concession agreement under a reasonable profit margin from the equity holder's perspective. The proposed model is demonstrated through a numerical example, which will help improve the financial decision-making processes in an efficient and effective way.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent157339 bytes
dc.format.extent28071 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInternational Society for Computing in Civil and Building Engineeringen_US
dc.publisher.placeMontreal, CANADAen_US
dc.publisher.urihttp://www.asce.org/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameJoint International Conference on Computing and Decision Making in Civil and Building Engineeringen_US
dc.relation.ispartofconferencetitleJoint International Conference on Computing and Decision Making in Civil and Building Engineeringen_US
dc.relation.ispartofdatefrom2006-06-14en_US
dc.relation.ispartofdateto2006-06-16en_US
dc.relation.ispartoflocationMontreal, CANADAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode310202en_US
dc.titleTowards an optimal financial investment decision in Build-Operate-Transfer projects using genetic algorithmsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright remains with the authors 2006. The attached file is posted here with permission of the copyright owners for your personal use only. No further distribution permitted.en_AU
gro.date.issued2006
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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