64 citations · 217 across the 24 of their papers we have counts for
24 papers
Grammar-Aware Literate Generative Mathematical Programming with Compiler-in-the-Loop
Roberto Rossi, Steven D. Prestwich
Mathematical programming is widely employed across various sectors - such as logistics, energy, and workforce planning - to model and solve industrial optimisation problems, but it…
Mixed-Integer Linear Programming Approximations for the Stochastic Knapsack
Roberto Rossi, Steven D. Prestwich, S. Armagan Tarim
We develop mathematical programming approximations to tackle the stochastic knapsack problem. In this problem, the decision maker considers items for which either weights or values…
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
Andrea Rossi, Andrea Visentin, Diego Carraro +2
Predicting future resource demand in Cloud Computing is essential for optimizing the trade-off between serving customers' requests efficiently and minimizing the provisioning cost.…
Stochastic Dynamic Programming Heuristic for the (R, s, S) Policy Parameters Computation
Andrea Visentin, Steven Prestwich, Roberto Rossi +1
The (R, s, S) is a stochastic inventory control policy widely used by practitioners. In an inventory system managed according to this policy, the inventory is reviewed at instant R…
A hybrid estimation of distribution algorithm for joint stratification and sample allocation
Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
In this study we propose a hybrid estimation of distribution algorithm (HEDA) to solve the joint stratification and sample allocation problem. This is a complex problem in which ea…
Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
In this paper we combine the k-means and/or k-means type algorithms with a hill climbing algorithm in stages to solve the joint stratification and sample allocation problem. This i…