Month: August 2023

Enhancing explainability of stochastic programming solutions via scenario and recourse reduction

  • Tushar Rathi
  • Rishabh Gupta
  • Jose M. Pinto
  • Qi Zhang
    • Categories Stochastic Programming Tags , , ,

    Stochastic programming (SP) is a well-studied framework for modeling optimization problems under uncertainty. However, despite the significant advancements in solving large SP models, they are not widely used in industrial practice, often because SP solutions are difficult to understand and hence not trusted by the user. Unlike deterministic optimization models, SP models generally involve recourse … Read more

    On Common-Random-Numbers and the Complexity of Adaptive Sampling Trust-Region Methods

  • Sara Shashaani
    • Categories Optimization of Simulated Systems, Stochastic Approaches, Unconstrained Optimization

    \(\) In the context of simulation optimization (SO), Common Random Numbers (CRN) is the practice of querying the simulation-based oracle with the same random number stream at each point visited by an SO algorithm. This practice is widely believed to facilitate SO algorithm efficiency by preserving structure inherent to the objective function and gradient sample-paths. … Read more

    A robust approach to food aid supply chains

  • Danique de Moor
  • Dick den Hertog
  • H Fleuren
  • Robert Poos
    • Categories Applications - OR and Management Sciences, Robust Optimization Tags , , , ,

    One of the great challenges in reaching zero hunger is to secure the availability of sufficient nourishment in the worst of times such as humanitarian emergencies. Food aid operations during a humanitarian emergency are typically subject to a high level of uncertainty. In this paper, we develop a novel robust optimization model for food aid … Read more