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)
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# Python
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__pycache__/
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*.pyc
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*.pyo
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*.egg-info/
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# Generated data (large binary files)
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t_alns_rrd_reproduction/data/synthetic/*.npy
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t_alns_rrd_reproduction/data/synthetic/*.csv
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t_alns_rrd_reproduction/data/synthetic/metadata.yaml
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# Results (large binary, regeneratable)
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t_alns_rrd_reproduction/results/**/*.png
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t_alns_rrd_reproduction/results/**/*.npz
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t_alns_rrd_reproduction/results/**/per_seed_costs.csv
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# IDE
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.vscode/
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.idea/
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*.swp
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# OS
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.DS_Store
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