A multi-objective optimization approach for invasive species control

I. Esra Büyüktahtakin, Zhuo Feng, Ferenc Szidarovszky

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


In this paper, we formulate and analyse a long-term multi-objective dynamic model for controlling invasive species. This optimization framework is then applied t. The case of buffelgrass control i. 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 decid. The optimal allocation of labour to these resources to contro. The population o. The species in a multi-period planning horizon. The computational method to solve this problem is based on multi-objective integer programming.

Original languageEnglish (US)
Pages (from-to)1625-1635
Number of pages11
JournalJournal of the Operational Research Society
Issue number11
StatePublished - Nov 25 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics, Probability and Uncertainty
  • Modeling and Simulation
  • Strategy and Management
  • Management Science and Operations Research


  • biological invasion
  • environmental studies
  • integer programming
  • invasive species
  • multi-objective optimization
  • optimal control


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