Research Article

A GRASP-Tabu Heuristic Approach to Territory Design for Pickup and Delivery Operations for Large-Scale Instances

Table 8

Parcel instances results.

GapInst.K-S/P1-SHypLS2-IterLSInst.K-S/P1-SHypLS2-IterLS

MaxT−21.80%−25.26%−23.54%−24.93%All−19.92%−19.39%−22.02%−23.48%
Avg−32.30%−38.70%−36.06%−38.23%−31.40%−34.23%−34.90%−37.11%
Min−43.67%−50.45%−47.01%−49.87%−43.67%−50.45%−47.01%−49.87%

MaxLR−19.92%−19.39%−22.02%−23.48%Speed
25
−19.92%−19.39%−22.02%−23.48%
Avg−30.51%−29.76%−33.74%−35.99%−30.22%−34.21%−34.88%−37.09%
Min−39.75%−38.83%−43.97%−46.92%−39.74%−50.43%−46.99%−49.86%

Maxλ: 0.25−33.19%−38.83%−43.95%−46.90%Speed 30−19.98%−19.45%−22.08%−23.53%
Avg−39.96%−44.63%−45.48%−48.39%−31.99%−34.23%−34.90%−37.11%
Min−43.67%−50.45%−47.01%−49.87%−43.66%−50.44%−47.00%−49.86%

Maxλ: 0.5−31.80%−31.02%−35.16%−37.52%Speed 35−19.32%−19.99%−19.46%−22.10%
Avg−33.37%−35.69%−36.40%−38.71%−29.56%−32.00%−34.25%−34.92%
Min−34.92%−40.39%−37.64%−39.90%−38.60%−43.67%−50.45%−47.01%

Maxλ: 0.75−19.92%−19.39%−22.02%−23.48%Comput. time4041.41146.681569.921690.34
Avg−20.89%−22.36%−22.82%−24.23%1632.661125.191538.041612.27
Min−21.85%−25.33%−23.62%−24.98%1479.251103.931506.261535.26