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'''Robust optimization''' is a field of [[mathematical optimization]] theory that deals with optimization problems in which a certain measure of robustness is sought against [[uncertainty]] that can be represented as deterministic variability in the value of the parameters of the problem itself and/or its solution. It is related to, but often distinguished from, [[probabilistic optimization]] methods such as chance-constrained optimization.<ref>{{cite journal | doi=10.3390/en15030825 | doi-access=free | title=Probabilistic Optimization Techniques in Smart Power System | date=2022 | last1=Riaz | first1=Muhammad | last2=Ahmad | first2=Sadiq | last3=Hussain | first3=Irshad | last4=Naeem | first4=Muhammad | last5=Mihet-Popa | first5=Lucian | journal=Energies | volume=15 | issue=3 | page=825 | hdl=11250/2988376 | hdl-access=free }}</ref><ref>https://people.eecs.berkeley.edu/~elghaoui/Teaching/EE227A/lecture24.pdf {{Bare URL PDF|date=August 2024}}</ref>
== History ==
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