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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huangfu
2026-06-02 21:11:00 +08:00
commit 8ff9715fb7
45 changed files with 9293 additions and 0 deletions

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algorithm,total_cost_mean,total_cost_std,otdr_mean,otdr_std,ces_mean,ces_std,travel_time_mean,delay_penalty_mean,congestion_cost_mean,computation_time_mean,avg_delay_mean,max_delay_mean,late_customers_mean
Static-VRPTW,15321.894699999999,1.9173831849720224e-12,43.63636363636363,0.0,3193.5278,0.0,3111.4945,9016.872399999997,3193.5278,0.1911109209060669,300.5624133333332,512.7649999999998,30.0
TA-VRPTW-Greedy,5013.09167,175.89575187422835,91.27272727272727,3.6161051854972857,1789.1400299999998,75.81980551459641,2932.68725,291.26438999999993,1789.1400299999998,0.027298784255981444,67.99000710714286,167.66838,4.6
ALNS-Base,3246.7716299999997,104.20460175913583,88.54545454545455,2.7171529419951392,906.95191,49.998293085829985,2309.61222,30.207500000000017,906.95191,63.5413857460022,7.706254285714287,14.838140000000044,4.3
T-ALNS,3228.2472500000003,85.46898350558733,84.54545454545453,3.1198879215112094,863.8959600000001,45.765308168456315,2311.5525900000002,52.79870000000001,863.8959600000001,48.58432672023773,8.081892531746034,19.420940000000087,6.5
T-ALNS-RRD,3336.590004828589,160.19969851781602,85.09090909090908,2.064168044354714,981.6906182031265,117.47264426552245,2306.6826584178852,48.21672820757747,981.6906182031265,51.64886746406555,7.734138309051906,21.168398007750977,6.1
1 algorithm total_cost_mean total_cost_std otdr_mean otdr_std ces_mean ces_std travel_time_mean delay_penalty_mean congestion_cost_mean computation_time_mean avg_delay_mean max_delay_mean late_customers_mean
2 Static-VRPTW 15321.894699999999 1.9173831849720224e-12 43.63636363636363 0.0 3193.5278 0.0 3111.4945 9016.872399999997 3193.5278 0.1911109209060669 300.5624133333332 512.7649999999998 30.0
3 TA-VRPTW-Greedy 5013.09167 175.89575187422835 91.27272727272727 3.6161051854972857 1789.1400299999998 75.81980551459641 2932.68725 291.26438999999993 1789.1400299999998 0.027298784255981444 67.99000710714286 167.66838 4.6
4 ALNS-Base 3246.7716299999997 104.20460175913583 88.54545454545455 2.7171529419951392 906.95191 49.998293085829985 2309.61222 30.207500000000017 906.95191 63.5413857460022 7.706254285714287 14.838140000000044 4.3
5 T-ALNS 3228.2472500000003 85.46898350558733 84.54545454545453 3.1198879215112094 863.8959600000001 45.765308168456315 2311.5525900000002 52.79870000000001 863.8959600000001 48.58432672023773 8.081892531746034 19.420940000000087 6.5
6 T-ALNS-RRD 3336.590004828589 160.19969851781602 85.09090909090908 2.064168044354714 981.6906182031265 117.47264426552245 2306.6826584178852 48.21672820757747 981.6906182031265 51.64886746406555 7.734138309051906 21.168398007750977 6.1

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algo_a,algo_b,t_statistic,p_value,significant
Static-VRPTW,TA-VRPTW-Greedy,185.3330576633527,1.9716478558253748e-17,***
Static-VRPTW,ALNS-Base,366.44151297950805,4.2727722775178273e-20,***
Static-VRPTW,T-ALNS,447.4543816071859,7.080306899468622e-21,***
Static-VRPTW,T-ALNS-RRD,236.58509746594012,2.191284240436559e-18,***
TA-VRPTW-Greedy,ALNS-Base,31.25967939768836,1.720760601298381e-10,***
TA-VRPTW-Greedy,T-ALNS,29.4464353247755,2.93244000878877e-10,***
TA-VRPTW-Greedy,T-ALNS-RRD,24.6826583540389,1.4102196456675431e-09,***
ALNS-Base,T-ALNS,0.46670227005865406,0.6518039930669947,ns
ALNS-Base,T-ALNS-RRD,-1.515866438976666,0.1638582485938116,ns
T-ALNS,T-ALNS-RRD,-2.4093905940604805,0.03928826243785392,*
1 algo_a algo_b t_statistic p_value significant
2 Static-VRPTW TA-VRPTW-Greedy 185.3330576633527 1.9716478558253748e-17 ***
3 Static-VRPTW ALNS-Base 366.44151297950805 4.2727722775178273e-20 ***
4 Static-VRPTW T-ALNS 447.4543816071859 7.080306899468622e-21 ***
5 Static-VRPTW T-ALNS-RRD 236.58509746594012 2.191284240436559e-18 ***
6 TA-VRPTW-Greedy ALNS-Base 31.25967939768836 1.720760601298381e-10 ***
7 TA-VRPTW-Greedy T-ALNS 29.4464353247755 2.93244000878877e-10 ***
8 TA-VRPTW-Greedy T-ALNS-RRD 24.6826583540389 1.4102196456675431e-09 ***
9 ALNS-Base T-ALNS 0.46670227005865406 0.6518039930669947 ns
10 ALNS-Base T-ALNS-RRD -1.515866438976666 0.1638582485938116 ns
11 T-ALNS T-ALNS-RRD -2.4093905940604805 0.03928826243785392 *