Volume 25, Issue 2 (IIJEPR 2014)                   IJIEPR 2014, 25(2): 95-102 | Back to browse issues page

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Yaghini M, Momeni M, Momeni Sarmadi M. A Local Branching Approach for the Set Covering Problem. IJIEPR 2014; 25 (2) :95-102
URL: http://ijiepr.iust.ac.ir/article-1-464-en.html
A Local Branching Approach for the Set Covering Problem
Masoud Yaghini 1, Mohsen Momeni2 , Mohammadreza Momeni Sarmadi2
1- Iran University of Science and Technology , yaghini@iust.ac.ir
2- Iran University of Science and Technology
Abstract:   (6388 Views)
The set covering problem (SCP) is a well-known combinatorial optimization problem. This paper investigates development of a local branching approach for the SCP. This solution strategy is exact in nature, though it is designed to improve the heuristic behavior of the mixed integer programming solver. The algorithm parameters are tuned by design of experiments approach. The proposed method is tested on the several standard instances. The results show that the algorithm outperforms the best heuristic approaches found in the literature.
Keywords: heuristics, set covering problem, local branching algorithm, design of experiments
Full-Text [PDF 1325 kb]   (3402 Downloads)    
Type of Study: Research | Subject: Operations Research
Received: 2012/09/15 | Accepted: 2013/11/23 | Published: 2014/05/26
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