Computational Data for an Integrated Post-Disaster Road Restoration and Logistics Support Problem
Description
This dataset contains 202 synthetic benchmark instances for the post-disaster Repair Crew Scheduling and Routing Problem with Logistics Support (PRCSRP-LS), including 72 Small, 63 Medium, and 67 Large instances. The dataset includes JSON instance files, per-instance computational results, manuscript-level summary tables, detailed ALNS and LNS solution outputs, and Gurobi outputs for the Small instances. For the Small instances, gaps are calculated using the best Gurobi lower bound. For the Medium and Large instances, gaps are calculated using the problem-specific LB2 lower bound. Complete ten-seed ALNS/LNS records are available for 165 instances. For the remaining 37 Large instances, the per-instance results and objective-matched representative solutions are provided, while the complete historical ten-seed records were not preserved. The dataset supports verification and reuse of the computational results reported in the associated manuscript on integrated post-disaster road restoration, repair crew routing, and repair-material logistics.
Files
Institutions
- Tianjin UniversityTianjin, Tianjin