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91-102

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- Department of Mathematics, Faculty of Mathematics and Natural Science, University of Padjadjaran, Jalan Raya Bandung-Sumedang Km. 21 Jatinangor Sumedang 45363, Indonesia

author

author

References

- [1] Ahmed, F., Khan, M. A.-A., Khan, A. R., Ahmed, S. S., & Uddin, M. S. (2014). An Efficient Algorithm for Finding Maximum Flow in a Network-Flow. Journal of Physical Sciences, 19, 41-50.
- [2] Ben-Tal, A., & Nemirovski, A. 2002. Robust optimization-Methodology and applications. Math. Programming, 92(3), 453-480.
- [3] Ben-Tal, A., Ghaoui, L., Nemirovski, A. 2009. Robust Optimization. Princeton, New Jersey, United Kingdom: Priceton University Press.
- [4] Aharon Ben-Tal, Arkadi Nemirovski. Robust optimization – methodology and applications. Mathematical Programming May 2002, Volume 92, Issue 3, pp 453–480
- [5] Haiwang Zhong, Qing Xia, Yuguo Chen, Chongqing Kang. Energy-saving generation dispatch toward a sustainable electric power industry in China. Energy Policy Volume 83, August 2015, Pages 14-25
- [6] Ford, L.R., Fulkerson, D.R. 1956. Maximal flow through a network. Canadian Journal of Mathematics, 8, 399–404.
- [7] Gorissen, B. L., Yanikoglu, I., Hertog, D. D. 2015. A Practical Guide to Robust Optimization. Omega: The International Journal of Management Science, 53, 124-137.
- [8] Sözüer S., Thiele A.C. (2016). The State of Robust Optimization. In: Doumpos M., Zopounidis C., Grigoroudis E. (eds) Robustness Analysis in Decision Aiding, Optimization, and Analytics. International Series in Operations Research & Management Science, Vol. 241. Springer, Cham. https://doi.org/10.1007/978-3-319-33121-8_5
- [9] Soyster, A.L. 1973. Convex programming with set-inclusive constraints and applications to inexact linear programming. Operations Research 21(5), 1154–1157

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article

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bwmeta1.element.psjd-d3bda928-14de-4915-9abf-b14cfee42610