A Note on Branch and Bound Algorithm for Integer Linear Programming

Syed Inayatullah *

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Wajiha Riaz

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Hafsa Athar Jafree

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Tanveer Ahmed Siddiqi

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Muhammad Imtiaz

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Saba Naz

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

Syed Ahmad Hassan

Department of Mathematics, University of Karachi, Karachi, 75270, Pakistan.

*Author to whom correspondence should be addressed.


Abstract

In branch and bound algorithm for integer linear programming the usual approach is incorporating dual simplex method to achieve feasibility for each sub-problem. Although one can also employ the phase 1 simplex method but the simplicity and easy implementation of the dual simplex method bounds the users to use it. In this paper a new technique for handling sub-problems in branch and bound method has been presented, which is an efficient alternative of dual simplex method.

Keywords: Integer programming, branch and bound method, dual simplex algorithm, two-phase simplex method


How to Cite

Inayatullah, Syed, Wajiha Riaz, Hafsa Athar Jafree, Tanveer Ahmed Siddiqi, Muhammad Imtiaz, Saba Naz, and Syed Ahmad Hassan. 2019. “A Note on Branch and Bound Algorithm for Integer Linear Programming”. Current Journal of Applied Science and Technology 34 (6):1-6. https://doi.org/10.9734/cjast/2019/v34i630155.

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