Particle Swarm Optimization Using Neighborhood-Based Mutation Operator and Intermediate Disturbance Strategy for Outbound Container Storage Location Assignment Problem
Table 5
Comparison of the results of different approaches.
Bay×stack×tier (containers)
Different algorithms
Improved efficiency
TPA
PSO
GA
(1-TPA/PSO)×100%
(1-TPA/GA)×100%
1 × 4 × 4
0.0417
0.0617
0.1333
32.42%
68.72%
1 × 6 × 4 (20)
0.0556
0.1333
0.1667
58.29%
66.41%
1 × 10 × 6 (55)
0.0833
0.1237
0.1534
32.66%
45.70%
2 × 4 × 3 (22)
0.0417
0.0542
0.0752
23.06%
44.55%
2 × 5 × 4(30)
0.0333
0.0833
0.15
60.02%
77.8%
2 × 6 × 4 (36)
0.0278
0.0694
0.125
59.94%
77.76%
2 × 6 × 4 (44)
0.0694
0.083
0.132
16.39%
47.42%
2 × 6 × 6 (65)
0.0778
0.0944
0.1748
17.58%
55.49%
2 × 6 × 6 (70)
0.1222
0.1561
0.191
21.72%
36.02%
4 × 6 × 4 (72)
0.0722
0.1444
0.1722
50%
58.07%
4 × 6 × 4 (90)
0.1132
0.1723
0.2615
34.31%
56.71%
7 × 5 × 4(105)
0.0857
0.1567
0.327
45.31%
73.79%
7 × 6 × 3 (110)
0.0884
0.1484
0.1924
40.43%
54.05%
7 × 6 × 3 (120)
0.1087
0.1737
0.197
37.42%
44.82%
7 × 6 × 4(126)
0.0509
0.1071
0.159
52.47%
67.99%
Average
38.8%
58.35%
Note: TPA stands for the proposed algorithm. The best values are marked in italic.
