Mathematical Modelling of Robust Optimization for Integer Programming Problem

Authors

  • Gyan Bahadur Thapa Central Campus, Institute of Engineering, Tribhuvan University, Kathmandu

DOI:

https://doi.org/10.3126/jist.v20i1.13933

Keywords:

Linear programming, optimization, integer programming, robust optimization

Abstract

Dealing with data uncertainty in mathematical programming has been recognized as a central problem in optimization for a long time. There are two methods that have been proposed to address data uncertainty over the years, namely stochastic programming and robust optimization. In this short paper, we present the brief review of mathematical models of integer programming problem and robust optimization approach to solve them. Robust Binary optimization is also briefly presented.

Journal of Institute of Science and Technology, 2015, 20(1): 119-122

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Published

2015-11-25

How to Cite

Thapa, G. B. (2015). Mathematical Modelling of Robust Optimization for Integer Programming Problem. Journal of Institute of Science and Technology, 20(1), 119–122. https://doi.org/10.3126/jist.v20i1.13933

Issue

Vol. 20 No. 1 (2015)

Section

Research Articles

License

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The copyright of the articles is held by the Institute of Science and Technology, T.U.