EconPapers    
Economics at your fingertips  
 

An exact decomposition algorithm for the generalized knapsack sharing problem

Isma Dahmani, Mhand Hifi and Lei Wu

European Journal of Operational Research, 2016, vol. 252, issue 3, 761-774

Abstract: This paper presents an exact algorithm for solving the knapsack sharing problem with common items. In literature, this problem is also denominated the Generalized Knapsack Sharing Problem (GKSP). The GKSP is NP-hard because it lays on the 0–1 knapsack problem and the knapsack sharing problem. The proposed exact method is based on a rigorous decomposition technique which leads to an intense simplification of the solution procedure for the GKSP. Furthermore, in order to accelerate the procedure for finding the optimum solution, an upper bound and several reduction strategies are considered. Computational results on two sets of benchmark instances from literature show that the proposed method outperforms the other approaches in most instances.

Keywords: Exact decomposition; Knapsack; Sharing; Reduction; Upper bound (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221716300297
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:252:y:2016:i:3:p:761-774

DOI: 10.1016/j.ejor.2016.02.009

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:252:y:2016:i:3:p:761-774