A route-based decomposition for the Multi-Commodity k-splittable Maximum Flow Problem
Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
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A route-based decomposition for the Multi-Commodity k-splittable Maximum Flow Problem. / Gamst, Mette.
In: Proceedings. 2012.Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
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TY - GEN
T1 - A route-based decomposition for the Multi-Commodity <em>k</em>-splittable Maximum Flow Problem
A1 - Gamst,Mette
AU - Gamst,Mette
PY - 2012
Y1 - 2012
N2 - The Multi-Commodity k-splittable Maximum Flow Problem routes flow through a capacitated graph such that each commodity uses at most k paths and such that the total amount of routedflow is maximized. This paper proposes a branch-and-price algorithm based on a route-based Dantzig-Wolfe decomposition, where a route consists of up to k paths. Computational results show that the new algorithm has best performance on seven benchmark instances and is capable of solving two previously unsolved instances.
AB - The Multi-Commodity k-splittable Maximum Flow Problem routes flow through a capacitated graph such that each commodity uses at most k paths and such that the total amount of routedflow is maximized. This paper proposes a branch-and-price algorithm based on a route-based Dantzig-Wolfe decomposition, where a route consists of up to k paths. Computational results show that the new algorithm has best performance on seven benchmark instances and is capable of solving two previously unsolved instances.
KW - Branch and price
KW - Dantzig-Wolfe Decomposition
KW - Multi-commodity flow
KW - k-splittable
KW - Combinatorial optimization
UR - http://isco12.cs.aueb.gr/
BT - Proceedings
T2 - Proceedings
ER -