A Local Branching Approach for the Set Covering Problem
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran University of Science & Technology
2014-05-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-94-11&slc_lang=en&sid=1 |
| Summary: | 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. |
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| ISSN: | 2008-4889 2345-363X |