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dc.contributor.authorBueyuektahtakin, I. Esra
dc.contributor.authorFeng, Zhuo
dc.contributor.authorSzidarovszky, Ferenc
dc.identifier.citationBueyuektahtakin, I. Esra; Feng, Zhuo; Szidarovszky, Ferenc. 2013. A multi-objective optimization approach for invasive species control. Journal of the Operational Research Society, (2013) vol. 65:no. 11:pp 1625–1635en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractIn this paper, we formulate and analyse a long-term multi-objective dynamic model for controlling invasive species. This optimization framework is then applied to the case of buffelgrass control in the Arizona desert. The proposed model simultaneously optimizes three objectives corresponding to three different valued and threatened resources including saguaros (a native cactus species), buildings and vegetation. The model is used to decide the optimal allocation of labour to these resources to control the population of the species in a multi-period planning horizon. The computational method to solve this problem is based on multi-objective integer programming.en_US
dc.publisherPalgrave Macmillanen_US
dc.relation.ispartofseriesJournal of the Operational Research Society;v.65:no.11
dc.subjectInvasive speciesen_US
dc.subjectBiological invasionen_US
dc.subjectEnvironmental studiesen_US
dc.subjectOptimal controlen_US
dc.subjectInteger programmingen_US
dc.subjectMulti-objective optimizationen_US
dc.titleA multi-objective optimization approach for invasive species controlen_US
dc.rights.holderCopyright © 2014 Palgrave Macmillan, a division of Macmillan Publishers Limited.

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    Research works published by faculty and students of the Department of Industrial, Systems, and Manufacturing Engineering

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