Machine scheduling by column-and-row generation on the time-indexed formulation
SADYKOV, Ruslan
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
VANDERBECK, François
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
SADYKOV, Ruslan
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
VANDERBECK, François
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
< Leer menos
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
Idioma
en
Communication dans un congrès
Este ítem está publicado en
10th International Workshop on Models and Algorithms for Planning and Scheduling Problems, 2011-06-19, Nymburk. 2011p. 55-57
Resumen en inglés
We consider the general machine scheduling problem to minimize the scheduling cost. One of the most efficient approaches to solve this problem is to use time-indexed Integer Programming formulation. However, the size of ...Leer más >
We consider the general machine scheduling problem to minimize the scheduling cost. One of the most efficient approaches to solve this problem is to use time-indexed Integer Programming formulation. However, the size of this formulation is very big, and even solving its Linear Programming (LP) relaxation is very time consuming. In this work, we apply the column-and-row generation approach to solve the LP relaxation of the time-indexed formulation in significantly less amount of time.< Leer menos
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