Table 4.
Results for datasets 2, 3, and 4 by running experiments on hicloud
| |
Algorithm |
Sequential |
Sequential |
Parallel |
|
|---|---|---|---|---|---|
| GA-PSO | iGA-PSO | iGA-PSO | |||
| 50 genes (dataset 2) |
Master / Slaves |
1 / 0 |
1 / 0 |
1 / 20 |
1 / 30 |
| |
Time cost (mins) |
3019 |
2898 |
591 |
465 |
| |
Speed-up |
- |
1 |
4.9036 |
6.2323 |
| |
Fitness value per gene |
0.2345 |
0.2115 |
0.2140 |
0.2076 |
| 100 genes (dataset 3) |
Master / Slaves |
1 / 0 |
1 / 0 |
1 / 20 |
1 / 30 |
| |
Time cost (mins) |
11342 |
10284 |
1526 |
1316 |
| |
Speed-up |
- |
1 |
6.7392 |
7.8146 |
| |
Fitness value per gene |
0.3843 |
0.3520 |
0.3642 |
0.3582 |
| 125 genes (dataset 4) |
Master / Slaves |
1 / 0 |
1 / 0 |
1 / 20 |
1 / 30 |
| |
Time cost (mins) |
18019 |
16323 |
2152 |
1792 |
| |
Speed-up |
- |
1 |
7.5850 |
9.1088 |
| Fitness value per gene | 0.2358 | 0.2056 | 0.2195 | 0.2195 | |