Optimizing invasive species management: a mixed-integer linear programming approach
type: Item
instance of: scholarly article
title: Optimizing invasive species management: a mixed-integer linear programming approach
zbMATH Open document ID: 1394.90438
author: Eyyüb Y. Kıbış
author: İ. Esra Büyüktahtakın
published in: European Journal of Operational Research
publication date: 2018-05-25T00:00:00Z
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 91B76
Mathematics Subject Classification ID: 92D40
Mathematics Subject Classification ID: 90C10
zbMATH DE Number: 6873601
zbMATH Keywords: (S) complexity theory
zbMATH Keywords: spatially explicit large-scale optimization
zbMATH Keywords: mixed-integer programming (MIP)
zbMATH Keywords: linearization
zbMATH Keywords: big-M
MaRDI profile type: Publication
full work available at URL: j.ejor.2016.09.049
OpenAlex ID: W2529235447
Wikidata QID: Q56332665
cites work: International trade and biological invasions: a queuing theoretic analysis of the prevention problem
cites work: Q3134873
cites work: An algorithm for disjunctive programs
cites work: Mathematical optimization ideas for biodiversity conservation
cites work: A dynamic model of controlling invasive species
cites work: Support system development for forest ecosystem management
cites work: Combinatorial Benders' Cuts for Mixed-Integer Linear Programming
cites work: A Modeling Language for Mathematical Programming
cites work: OPTIMIZING SPATIAL AND DYNAMIC POPULATION‐BASED CONTROL STRATEGIES FOR INVADING FOREST PESTS
cites work: Q4821303
cites work: Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires
cites work: A global optimization method for nonconvex separable programming problems
cites work: Forest management challenges for operational researchers
cites work: Allee effect and control of lake system invasion
cites work: Modeling disjunctive constraints with a logarithmic number of binary variables and constraints
cites work: Q3996913
DOI: 10.1016/J.EJOR.2016.09.049
description: scientific article; zbMATH DE number 6873601