An expandable machine learning-optimization framework to sequential decision-making

D Yilmaz, İE Büyüktahtakın - European Journal of Operational Research, 2024 - Elsevier
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making

D Yilmaz, İE Büyüktahtakın - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making

D Yilmaz, İE Büyüktahtakın - arXiv preprint arXiv:2311.06972, 2023 - arxiv.org
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An expandable machine learning-optimization framework to sequential decision-making

D Yilmaz, İE Büyüktahtakın - European Journal of Operational …, 2024 - econpapers.repec.org
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An expandable machine learning-optimization framework to sequential decision-making

D Yilmaz, İE Büyüktahtakın - European Journal of Operational …, 2024 - ideas.repec.org
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An expandable machine learning-optimization framework to sequential decision-making

D Yilmaz, E Büyüktahtakın - European Journal of Operational …, 2024 - researchwith.njit.edu
We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …