How Does Robust Optimization Differ from Traditional Optimization?
Traditional optimization focuses on finding the best solution under a fixed set of conditions. However, this approach may not be effective when there are uncertainties. Robust optimization, on the other hand, considers a range of possible scenarios and aims to find a solution that performs well across all of them. This approach is particularly useful in catalysis where operational environments can be unpredictable.
