Implicit cover inequalities

In this paper we consider combinatorial optimization problems whose feasible sets are simultaneously restricted by a binary knapsack constraint and a cardinality constraint imposing the exact number of selected variables. In particular, such sets arise when the feasible set corresponds to the bases...

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Detalhes bibliográficos
Autor principal: Agra, Agostinho (author)
Outros Autores: Requejo, Cristina (author), Santos, Eulália (author)
Formato: article
Idioma:eng
Publicado em: 2016
Assuntos:
Texto completo:http://hdl.handle.net/10773/16491
País:Portugal
Oai:oai:ria.ua.pt:10773/16491
Descrição
Resumo:In this paper we consider combinatorial optimization problems whose feasible sets are simultaneously restricted by a binary knapsack constraint and a cardinality constraint imposing the exact number of selected variables. In particular, such sets arise when the feasible set corresponds to the bases of a matroid with a side knapsack constraint, for instance the weighted spanning tree problem and the multiple choice knapsack problem. We introduce the family of implicit cover inequalities which generalize the well-known cover inequalities for such feasible sets and discuss the lifting of the implicit cover inequalities. A computational study for the weighted spanning tree problem is reported.