Table 3 Results for datasets 2, 3, and 4 by running the experiments in the computer center
| Â | Algorithm | Sequential | Sequential | Parallel | |
|---|---|---|---|---|---|
| Â | Â | GA-PSO | iGA-PSO | iGA-PSO | |
50 genes (dataset 2) | Master / Slaves | 1 / 0 | 1 / 0 | 1 / 20 | 1 / 25 |
| Â | Time cost (mins) | 923 | 908 | 218 | 176 |
| Â | Speed-up | - | 1 | 4.1651 | 5.1591 |
| Â | Fitness value per gene | 0.2876 | 0.2494 | 0.2593 | 0.2562 |
100 genes (dataset 3) | Master / Slaves | 1 / 0 | 1 / 0 | 1 / 20 | 1 / 25 |
| Â | Time cost (mins) | 3,687 | 3,137 | 496 | 411 |
| Â | Speed-up | - | 1 | 6.3246 | 7.6326 |
| Â | Fitness value per gene | 0.4567 | 0.4225 | 0.4165 | 0.4114 |
125 genes (dataset 4) | Master / Slaves | 1 / 0 | 1 / 0 | 1 / 20 | 1 / 25 |
| Â | Time cost (mins) | 5,788 | 4,927 | 702 | 595 |
| Â | Speed-up | - | 1 | 7.0185 | 8.2807 |
| Â | Fitness value per gene | 0.2822 | 0.2651 | 0.2670 | 0.2667 |