A sequential simplex algorithm for the continuous convex piecewise linear network flow problem*

Author(s):  
Zhibin Nie ◽  
Shuning Wang
2021 ◽  
Vol 6 (3) ◽  
pp. 2094-2113
Author(s):  
Zhibin Nie ◽  
◽  
Shuning Wang ◽  
Xiaolin Huang ◽  

2009 ◽  
Vol 19 (1) ◽  
pp. 157-170 ◽  
Author(s):  
George Geranis ◽  
Konstantinos Paparizzos ◽  
Angelo Sifaleras

A new dual simplex type algorithm for the Minimum Cost Network Flow Problem (MCNFP) is presented. The proposed algorithm belongs to a special 'exterior- point simplex type' category. Similarly to the classical network dual simplex algorithm (NDSA), this algorithm starts with a dual feasible tree-solution and reduces the primal infeasibility, iteration by iteration. However, contrary to the NDSA, the new algorithm does not always maintain a dual feasible solution. Instead, the new algorithm might reach a basic point (tree-solution) outside the dual feasible area (exterior point - dual infeasible tree).


2017 ◽  
Vol 34 (06) ◽  
pp. 1750033 ◽  
Author(s):  
Naoto Katayama

Multicommodity network problems appear in numerous applications, such as telecommunications, logistics, transportation, distribution and production planning networks. The piecewise linear multicommodity network flow problem is a multicommodity network flow problem with piecewise linear costs corresponding to multiple resources, such as communication lines, vehicles and production lines. In the present paper, for the piecewise linear multicommodity network continuous flow problem, we present a path-based formulation and an arc-based formulation, and develop a combined matheuristic approach, which combines capacity scaling, a column and row generation technique, restricted branch-and-bound and a local branch method.


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