3 papers
math.OC2026
Feasibility Determination for Subjective Probability Constraints
Taehoon Kim, Sigrun Andradottir, Seong-Hee Kim +1
We consider the problem of determining feasible systems from a finite set of simulated alternatives with respect to probability constraints, where the observations from stochastic…
cs.AI2026
FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
Minwei Kong, Chonghe Jiang, Ao Qu +24
Large language models (LLMs) are increasingly used for optimization modeling and solver-code generation, yet practical operations research and optimization problems often require a…
eess.SY2025
Indifference-Zone Relaxation Procedures for Finding Feasible Systems
Yuwei Zhou, Sigrún Andradóttir, Seong-Hee Kim +1
We consider the problem of finding feasible systems with respect to stochastic constraints when system performance is evaluated through simulation. Our objective is to solve this p…