Robust Constrained Optimization is a constrained optimization framework that incorporates uncertainty in constraints or objective functions by requiring feasibility and optimality to hold over a set of possible parameter realizations, thereby distinguishing it from deterministic constrained optimization methods.
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Adjustable robust solutions of uncertain linear programs
Aharon Ben‐Tal, Alexander Goryashko, E. Guslitzer et al. · Mathematical Programming · 2004 · 1.4K citations
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UNSW Sydney
Sydney, Australia
12 h-index
25 publications
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Iran University of Science and Technology
Tehran, Iran
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27 publications
1.4K citations
Tsinghua University
Beijing, China
10 h-index
26 publications
1.1K citations
Technion – Israel Institute of Technology
Haifa, Israel
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London, United Kingdom
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University of Bonab
Bonāb, Iran
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Princeton, United States
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Singapore, Singapore
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- Mathematical Programming
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- Journal of Optimization Theory and Applications
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