The constrained compartmentalized knapsack problem: mathematical models and solution methods
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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Resumo |
The constrained compartmentalized knapsack problem can be seen as an extension of the constrained knapsack problem. However, the items are grouped into different classes so that the overall knapsack has to be divided into compartments, and each compartment is loaded with items from the same class. Moreover, building a compartment incurs a fixed cost and a fixed loss of the capacity in the original knapsack, and the compartments are lower and upper bounded. The objective is to maximize the total value of the items loaded in the overall knapsack minus the cost of the compartments. This problem has been formulated as an integer non-linear program, and in this paper, we reformulate the non-linear model as an integer linear master problem with a large number of variables. Some heuristics based on the solution of the restricted master problem are investigated. A new and more compact integer linear model is also presented, which can be solved by a branch-and-bound commercial solver that found most of the optimal solutions for the constrained compartmentalized knapsack problem. On the other hand, heuristics provide good solutions with low computational effort. (C) 2011 Elsevier BM. All rights reserved. Fapesp Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq |
Identificador |
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.212, n.3, p.455-463, 2011 0377-2217 http://producao.usp.br/handle/BDPI/28883 10.1016/j.ejor.2011.02.016 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
European Journal of Operational Research |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #Cutting #Knapsack problem #Column generation #Heuristics #CUTTING-STOCK PROBLEM #LINEAR-PROGRAMMING APPROACH #APPROXIMATION SCHEMES #PACKING #Management #Operations Research & Management Science |
Tipo |
article original article publishedVersion |