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Information Journal Paper

Title

A LOCAL BRANCHING APPROACH FOR THE SET COVERING PROBLEM

Pages

  95-102

Abstract

 The SET COVERING PROBLEM (SCP) is a well-known combinatorial optimization problem. This paper investigates development of a local branching-based solution 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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  • Cite

    APA: Copy

    YAGHINI, MASOUD, SARMADI, MOHAMMADREZA, & MOMENI, MOHSEN. (2014). A LOCAL BRANCHING APPROACH FOR THE SET COVERING PROBLEM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), 25(2), 95-102. SID. https://sid.ir/paper/647795/en

    Vancouver: Copy

    YAGHINI MASOUD, SARMADI MOHAMMADREZA, MOMENI MOHSEN. A LOCAL BRANCHING APPROACH FOR THE SET COVERING PROBLEM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH)[Internet]. 2014;25(2):95-102. Available from: https://sid.ir/paper/647795/en

    IEEE: Copy

    MASOUD YAGHINI, MOHAMMADREZA SARMADI, and MOHSEN MOMENI, “A LOCAL BRANCHING APPROACH FOR THE SET COVERING PROBLEM,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), vol. 25, no. 2, pp. 95–102, 2014, [Online]. Available: https://sid.ir/paper/647795/en

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