ดาวน์โหลด All Proceeding - AS Nida

difference of the mean of material handling distance between two plots
based on 30 replicates and 95% confidence interval. The results did not
significantly differ in all couples. The best crossover and mutation
operators producing the best-so-far solutions were summarised in table
6. The average computational time required to solve each dataset
depends on the problem size. Dataset M30P10 took the longest
execution time which was about 116 seconds while M10P3 took only
18 seconds.
Mean material handling distance (m)
230
225
220
215
210
205
200
195
190
185
257
For each dataset, the computational runs having appropriate
genetic operators (in table 6) were repeated 30 times using different
random seed numbers. The computational results were analysed in
terms of the minimum, maximum, mean and standard deviation (STD)
as shown in table 7.
Table 6 Appropriate genetic operators for each dataset.
Genetic operator M10P3 M20P5 M15P9 M30P10
Crossover PBX 2PECX 2PECX SCX
Mutation CIM 2ORS 2ORS 2ORS
a) b)
Figure 5 Main effect plots of crossover operators on the datasets: a) M10P3/M30P10 and b) M20P5/M15P9.
a) b)
Figure 6 Main effect plots of mutation operators on the datasets: a) M10P3/M30P10 and b) M20P5/M15P9.
M1
M2
M3
M4
M5
M6
M7
M8
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
No. of crossover operator (C)
Mean material handling distance (m)
5200
5100
5000
4900
4800
4700
4600
4500
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
No. of crossover operator (C)
a) b)
M1
M2
M3
M4
M5
M6
M7
M8