Network Optimization by Minimization of Cardinality of Upper Average (CUA)
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PROBLEM: Minimizing Number of Overloaded Transshipment Nodes
The following link contains a Python script, using the Gurobi solver, to run the numerical example illustrated in section 4 of the paper "Cardinality of Upper Average and Application to Network Optimization." To run the script one must have the following installed:n-Python 2.7.6 or newern-Numpy ------------------------------------------------------- Click Here to Download Python Script
The following link contains a Python script, using the Gurobi solver, to run the numerical example illustrated in section 4 of the paper "Cardinality of Upper Average and Application to Network Optimization." To run the script one must have the following installed:n-Python 2.7.6 or newern-Numpy ------------------------------------------------------- Click Here to Download Python Script
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n
References
• Norton, M., Mafusalov, A., and S. Uryasev. Buffered Number of Exceedings and Application to
Network Optimization. Research Report 2015-1, ISE Dept., University of Florida, July 2015.
Network Optimization. Research Report 2015-1, ISE Dept., University of Florida, July 2015.