Abstract: This paper describes experiences with mixed integer linear programming (MILP ... study period at each time step while respecting all system and hydraulic constraints. The problem can be ...

S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.

To address this issue, the research team proposed a Mixed Integer Programming (MIP) model ... which explicitly and effectively handles non-overlapping and safety distance constraints between cuboid ...

Our focus of this study is on optimizing the schedule for unit and pump operations with the aim of minimizing the number of switches over a time horizon under consideration, taking various operating ...

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...

There will also be specialty programming such as California Day, a series of panels aimed at promoting film production in California; and House Party, a two-day summit aimed at elevating global ...

we present two integer linear programming (ILP) formulations to find the most parsimonious phylogenetic tree from a set of binary variation data. One method uses a flow-based formulation that can ...

School of Mathematics and Statistics, Xi’an Jiaotong University & Center for Optimization, Technique and Quantitative Finance, Xi’an International Academy for Mathematics and Mathematical Technology, ...