Sleep & Wellness Guide
GraphBU: MILP Instance Generation with Graph-Native Block Units
Key Takeaway
A robotics research paper on GraphBU: MILP Instance Generation with Graph-Native Block Units.
Practical Tips
Practical tips and how-to guidance will be added by our editorial team.
中文解读
中文解读待补充:本站将优先为睡眠改善、失眠治疗、助眠方法等高价值文章补充中文说明。
Article Summary
Mixed-integer linear programming (MILP) instances used for solver development are hard to obtain when models come from private or application-specific pipelines. A generator must keep the structure that solvers and learned policies rely on. Existing general generators usually choose their generation unit from a formulation template, summary statistics, local graph edits, or blocks found after recombination. These units do not explicitly record how a local part of the MILP is coupled to the rest of the instance. We propose GraphBU, a graph-native generator whose basic unit is a local subproblem plus its interface. The method promotes coupling nodes into master constraints or boundary variables and uses the resulting block units for compatibility-checked replacement. The analysis focuses on the properties needed by this construction: promotion separates interfaces, replacement can preserve feasibility under an interface-slack condition, and the graph construction is invariant to row-column permutations. On MILP instances generation, this unit keeps graph statistics close to the source family, preserves feasibility on most datasets, and improves downstream Predict-and-Search training. Genrated by GraphBU, The average graph-statistical similarity was approximately 0.934, the average feasibility was approximately 96.7%, and the average increase in the main index of downstream PS was approximately 8.0%.
Sources & References
Need to track a shipment?
Use our free logistics tracking tool to check real-time delivery status for USPS, FedEx, UPS, DHL, Amazon and 1000+ carriers worldwide.
Track a Package Now
Comments