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A Branch-and-Cut Algorithm for the Multilevel Generalized Assignment Problem
Авторы: Avella P., Boccia M., Vasilyev I .
Журнал: IEEE Access
Том: 1
Номер:
Год: 2013
Отчётный год: 2013
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Местоположение издательства:
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DOI: 10.1109/ACCESS.2013.2273268
Аннотация: The multilevel generalized assignment problem (MGAP) consists of minimizing the assignment cost of a set of jobs to machines, each having associated therewith a capacity constraint. Each machine can perform a job with different efficiency levels that entail different costs and amount of resources required. The MGAP was introduced in the context of large manufacturing systems as a more general variant of the well-known generalized assignment problem, where a single efficiency level is associated with each machine. In this paper, we propose a branch-and-cut algorithm whose core is an exact separation procedure for the multiple-choice knapsack polytope induced by the capacity constraints and single-level execution constraints. A computational experience on a set of benchmark instances is reported, showing the effectiveness of the proposed approach.
Индексируется WOS: Q1
Индексируется Scopus: Нет
Индексируется УБС: Нет
Индексируется РИНЦ: Да
Индексируется ВАК: Нет
Индексируется CORE: Нет
Публикация в печати: 0