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 …
sequential decision-making problems by predicting the values of binary decision variables …
A non-anticipative learning-optimization framework for solving multi-stage stochastic programs
D Yilmaz, İE Büyüktahtakın - Annals of Operations Research, 2024 - Springer
We present a non-anticipative learning-and scenario-based prediction-optimization
(ScenPredOpt) framework that combines deep learning, heuristics, and mathematical …
(ScenPredOpt) framework that combines deep learning, heuristics, and mathematical …
Optimizing resource allocation and request routing for ai-generated content (AIGC) services in mobile edge networks with cell coupling
In this paper, we investigate the deployment and service of pre-trained foundation models
(PFMs) in mobile edge networks with cell coupling. We formulate a joint resource allocation …
(PFMs) in mobile edge networks with cell coupling. We formulate a joint resource allocation …