… programming, deterministic nonlinear optimization, and direct search … techniques. It also
addresses performance aspects and test scenarios for direct robust optimization techniques…

… Robust optimization problems are newly formulated and an e … To ensure the robustness of
objective performance, we introduce a … Many techniques have been developed for the e cient …

… set, to which robust optimization techniques were then … robust optimization and stochastic
optimization paradigms, for instance quantifying the performance of the robust optimization …

… years by employing different optimization techniques and uncertainty modeling methods.
Robust optimization approach is introduced for solving optimization problems with uncertain …

… for robust optimization using statistical hypothesis tests. The approach is flexible and widely
applicable, and robust optimization … traditional robust optimization techniques whenever data …

… robust optimization and to successfully apply it in practice. We provide a brief introduction to
robust optimization, … The first way is to apply robust reformulation techniques to exclude the …

… Moreover, we show that this technique can provide a global robust optimum at
computationally reasonable costs. We showcase its performance on a 100-dimensional …

… optimization: This research proposed three techniques to solve constrained statistical
optimization … The three techniques modelled the uncertainty in the constraints (Aqi) due to …

… This paper provides a technique based on robust optimization and price confidence
intervals to derive optimal offering curves for a price-taker producer operating in a pool-based …

… So, a robust optimization technique is applied in this work to investigate robust scheduling of
… In order to model the market price uncertainty with the mentioned technique, the upper and …