Tag: operations research

Researchers have used genetic programming to automatically evolve relocation rules that significantly outperform manually designed heuristics for the dynamic container ...

A new decision-aware framework that couples demand prediction, simulation calibration, and robustness verification lifted JD.com's order fulfillment rate to 92.4 ...

A new study introduces probabilistic interval-valued dual hesitant fuzzy sets and an extended CRITIC-TOPSIS framework that ranks alternatives under multiple ...

A new framework called LACE uses large language models and complementary evolution to automatically design teams of specialist heuristics that ...

Researchers have built a closed-loop decision-making system that fuses machine learning prediction with operations research optimization to keep Internet of ...

A prospective pilot study at a Turkish children's hospital shows that pairing deep learning demand forecasts with optimization-based physician scheduling ...

Researchers have developed a new weapon–target assignment optimization framework that accounts for chemical, biological and debris damage from intercepted missiles, ...

Researchers have developed a Markov decision process model with balking penalties that significantly reduces patient rejection rates and improves bed ...