Initial commit: T-ALNS-RRD paper reproduction project

- Paper: Optimizing urban last mile delivery efficiency (Liu & Wang, 2025)
- 5 algorithms: Static-VRPTW, TA-Greedy, ALNS-Base, T-ALNS, T-ALNS-RRD
- v1 baseline + v2 calibrated experiments with full results
- Tabu memory ablation study with convergence analysis
- Comprehensive final report (FINAL_REPORT.md)
This commit is contained in:
huangfu
2026-06-02 21:11:00 +08:00
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# Python
__pycache__/
*.pyc
*.pyo
*.egg-info/
# Generated data (large binary files)
t_alns_rrd_reproduction/data/synthetic/*.npy
t_alns_rrd_reproduction/data/synthetic/*.csv
t_alns_rrd_reproduction/data/synthetic/metadata.yaml
# Results (large binary, regeneratable)
t_alns_rrd_reproduction/results/**/*.png
t_alns_rrd_reproduction/results/**/*.npz
t_alns_rrd_reproduction/results/**/per_seed_costs.csv
# IDE
.vscode/
.idea/
*.swp
# OS
.DS_Store