Figure 12 Oscillatory behavior of the instance 4 (Pulsar).
Related Figures (18)
Table 6. Instance. interference for the entire time of evaluation. Table 6 shows the level of oscillation obtained for each of the instances taken from the Game of Life. The value obtained assumed that the system remain unchanged during its evolution, i.e., from the initial conditions, the system is allowed to evolve according to the rules of the scenario itself without interference for the entire time of evaluation. Average Cumulative Oscillation Table 9. Locked Agents. Figure 6. Oscillatory behavior of the instance 1 (Blinker). In the case of instance 2 (Non-oscillating) shown in Figure 8 although the system does not oscillate the ‘techniques were able to find different configurations for this scenario that remain stable while decrease the value of the Average Cumulative Oscillation. The behavior of instance 2 (non-oscillating) afte1 locking is shown in Figure 9. 23 4 5 6 7 8 9 1011 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 5. Figure 8. Behavior of the instance 2 (Non-oscillating). As for instance 3 (Toad), the oscillatory behavior shown in Figure 10 looks very similar to instance | (Blinker). 23.45 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 5: Figure 10. Oscillatory behavior of the instance 3 (Toad). all algorithms. all algorithms. Figure 14. Oscillatory behavior of the instance 5 (10 cell row). Figure 15. Instabilities are successfully removed for the instance 5 (10 cell row) using all elanecthenea all algorithms. Despite the similarity of results of some algorithms based on Table 10, it can be said that the GA was ble to obtain smaller values relative to the values of the ACO. But if we take into account the number of ocked agents, the algorithms PSO and ju-PSO are those who achieved best results. This becomes more mportant because the algorithms PSO and ju-PSO achieve system stability, which makes them better by llowing most of the devices continue to work normally. Table 10. Comparison among algorithms based on Wilcoxon test.
