ORDO: Operation-level Round-aware Dynamic Ordering for MIP Presolve
cs.AI
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/scipopt/scip
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods
- BenLOC: A Benchmark for Learning to Configure MIP Optimizers
- CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems