Table 2 |
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|
Fitness values for dataset 2 |
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|
PSO |
GA-PSO |
DE |
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|
|
|||||||||
|
Setting |
1 |
2 |
3 |
1 |
2 |
3 |
1 |
2 |
3 |
|
|
|||||||||
|
Avg |
0.5718 |
0.3647 |
1.5170 |
0.0589 |
0.0192 |
0.0769 |
2.7558 |
0.6857 |
1.8766 |
|
Best |
0.3172 |
0.1315 |
1.1044 |
0.0310 |
0.0098 |
0.0530 |
2.2035 |
0.5169 |
0.9808 |
|
Worst |
0.8492 |
0.4928 |
1.9613 |
0.1034 |
0.0314 |
0.1040 |
3.0571 |
0.9289 |
2.6480 |
|
SD |
0.1729 |
0.1286 |
0.2743 |
0.0229 |
0.0062 |
0.0174 |
0.3933 |
0.1159 |
0.7201 |
|
|
|||||||||
|
Fitness results obtained by three inference algorithms with different settings for dataset 2. |
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|
Hsiao and Lee BMC Bioinformatics 2012 13(Suppl 7):S8 doi:10.1186/1471-2105-13-S7-S8 |
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