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 # Adaptive Benders
 
-Source code and instances for the computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico, Ivana Ljubić and Eduardo Moreno.
+Source code and instances for the computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico, Ivana Ljubić and Eduardo Moreno. [arXiv:2203.00752](https://doi.org/10.48550/arXiv.2203.00752)
 
-It applies different Benders methods and other optimization methods to solve two stochastic network flow problem.
-
-It requires NumPy library and Gurobi (https://www.gurobi.com) as optimization solver.
-
-Each problem as its own class file and a run-file to execute an instance
+It applies different Benders methods and other optimization methods to solve three stochastic network flow problems. Each problem as its own class file and a run-file to execute an instance
 
 Problems are:
 - Stochastic Capacity Planning Problem
@@ -22,3 +18,4 @@ Problems are:
   - Run file: `runFLcvar.py`
   - Instances: `instancesFlcvar/`
  
+It requires NumPy library and Gurobi (https://www.gurobi.com) as optimization solver.