Research Article

A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems

Table 9

The average values of hypervolume and the epsilon indicator of all problem sets for each algorithm.

Problem setPerformance indicators
Algorithms
IGASPPSOIISPEAIIIGASPPSOIISPEAII

11.4090.4880.31711.1721.171
21.4230.7210.37111.1591.376
31.3870.7180.42311.1441.290
41.4230.7450.30011.3551.505
51.4380.9120.46511.1431.354
61.3990.7920.27411.2451.332
71.4350.5640.28111.1461.178
81.4000.7340.21711.0861.152
91.4370.5680.22611.1071.151
101.4350.5700.30811.1051.164
111.4330.7580.18011.0711.149
121.4380.5460.31311.0881.121
131.4340.6540.28011.1001.136
141.4300.6510.14111.0691.144
151.4310.6560.25311.0851.166
161.4360.7120.38911.1121.185
171.4060.6810.13011.0571.127
181.4350.7520.27411.1241.156
191.4360.8110.32211.0921.164
201.4370.5900.27811.1531.149

Average1.4250.6810.28711.1311.208