We consider the problem of partitioning a set of positive integers values into a given number of subsets, each having an associated cardinality limit, so that the maximum sum of values in a subset is minimized, and the number of values in each subset does not exceed the corresponding limit. The problem is related to scheduling and bin packing problems. We give combinatorial lower bounds, reduction criteria, constructive heuristics, a scatter search approach, and a lower bound based on column generation. The outcome of extensive computational experiments is presented.

Lower bounds and heuristic algorithms for the $k_i$-Partitioning problem / M. Dell'Amico; M. Iori; S. Martello; M. Monaci. - In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. - ISSN 0377-2217. - STAMPA. - 171:(2006), pp. 725-742. [10.1016/j.ejor.2004.09.002]

Lower bounds and heuristic algorithms for the $k_i$-Partitioning problem

IORI, MANUEL;MARTELLO, SILVANO;MONACI, MICHELE
2006

Abstract

We consider the problem of partitioning a set of positive integers values into a given number of subsets, each having an associated cardinality limit, so that the maximum sum of values in a subset is minimized, and the number of values in each subset does not exceed the corresponding limit. The problem is related to scheduling and bin packing problems. We give combinatorial lower bounds, reduction criteria, constructive heuristics, a scatter search approach, and a lower bound based on column generation. The outcome of extensive computational experiments is presented.
2006
Lower bounds and heuristic algorithms for the $k_i$-Partitioning problem / M. Dell'Amico; M. Iori; S. Martello; M. Monaci. - In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. - ISSN 0377-2217. - STAMPA. - 171:(2006), pp. 725-742. [10.1016/j.ejor.2004.09.002]
M. Dell'Amico; M. Iori; S. Martello; M. Monaci
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/25332
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