Articles citing this paper
Wildfire initial response planning using probabilistically constrained stochastic integer programming
Julián A. Gallego Arrubla A , Lewis Ntaimo A C and Curt Stripling B
+ Author Affiliations
- Author Affiliations
A Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA.
B Texas A&M Forest Service, 301 Tarrow Street, Suite 304, College Station, TX 77843, USA.
C Corresponding author. Email: ntaimo@tamu.edu
International Journal of Wildland Fire 23(6) 825-838 https://doi.org/10.1071/WF13204
Submitted: 5 December 2013 Accepted: 7 May 2014 Published: 28 July 2014
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