Optimizing invasive species management: A mixed-integer linear programming approach

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• 作者：Eyy&uuml ; b Y. Kıbış ; İ. Esra B&uuml ; y&uuml ; ktahtakın ; ^{esra.b@wichita.edu} ;
• 关键词：(S) Complexity theory ; Spatially explicit large-scale optimization ; Mixed-integer programming (MIP) ; Linearization ; Big-M
• 刊名：European Journal of Operational Research
• 出版年：2017
• 出版时间：16 May 2017
• 年：2017
• 卷：259
• 期：1
• 页码：308-321
• 全文大小：1799 K
• 卷排序：259

文摘

We study a realistic linear integer model for controlling invasive species. Linear model provides an exact optimal solution contrary to non-linear models. The big-M value used to linearize the model impacts solution quality and time. Results provide insights into spatial and dynamic allocation of control efforts. Our model can be used as a decision-support tool in invasive species management.