## 5 Results and Discussion
### Experimental Verification of Reliability Allocation
#### 5.1.2 Solved Using a SMA-DE Hybrid Algorithm  
When performing the SMA-DE hybrid algorithm solution, the relevant parameters of the algorithm are shown in Table 10. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Population Size** & **Crossover Rate** & **F** & **Iterations** \\ \hline
100 & 0.7 & 0.5 & 500 \\ \hline \end{tabular}
\end{table} 
Table 8: DE parameter list. Figure 9: DE algorithm system costs. According to the reliability allocation model, the SMA-DE hybrid optimization algorithm performs operations on the parameters related to the algorithm, using the SMA-DE hybrid algorithm to calculate the cost results as shown in Figure 10, with the objective function value being 1.9709. Using the SMA-DE hybrid algorithm to solve the mission reliability model of the ship electronic information system, the reliability allocation of each unit is presented in Table 11. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Population** & **Crossover** & **Scale** & **Inertia** & **Learning Factor** & **Learning Factor** & **Iterations** \\
**Size** & **Rate** & **Factor F** & **Weight w** & **C1** & **C2** & **C2** \\ \hline
100 & 0.5 & 0.5 & 0.5 & 2 & 2 & 200 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Parameters of the SMA-DE hybrid algorithm. Figure 10: PSO-DE hybrid algorithm system cost. In order to comprehensively and fairly evaluate the SMA-DE hybrid optimization algorithm, several representative advanced methods were selected for 10 identical experiments and compared to verify the accuracy and effectiveness of the proposed method. The specific experimental results are shown in Table 12.  
After comparison, it is found that the SMA-DE hybrid optimization algorithm has better solution results, which indicates that it has stronger search capability and can overcome the limitations of the traditional DE and find the global optimal solution beyond the local optimal solution. This shows that the SMA hybrid algorithm and DE algorithm can improve the optimization effect to a certain extent and make the algorithm have stronger global search ability. It also suggests that for some complex optimization problems, using the SMA-DE hybrid optimization algorithms may be a more effective solution. Next, to evaluate the impact of different input configurations and algorithm parameters on the results, a sensitivity analysis was achieved by adjusting parameter values in the SMA-DE hybrid optimization algorithm to verify the robustness of the results. The specific parameter values and their corresponding effects are shown in Table 13. \begin{table}
\begin{tabular}{c c} \hline \hline
**Methods** & **Average Calculation Cost** \\ \hline SMA-DE & 1.9709 \\ DE & 2.0427 \\ PSO-DE & 2.0052 \\ ACO-DE & 1.9983 \\ GA-DE & 2.0274 \\ ABC-DE & 2.0411 \\ SA-DE & 2.0338 \\ BA-DE & 2.0115 \\ GRO-DE & 1.9856 \\ \hline \hline \end{tabular}
\end{table} 
Table 12: Comparison of solution results based on SMA-DE hybrid optimization algorithm and other advanced algorithms. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Number** & **Name** & **Reliability Allocation Value** \\ \hline
1 & Optical frequency equipment & 0.9560 \\
2 & RF integrated equipment & 0.9511 \\
3 & Computing service equipment 1 & 0.9502 \\
4 & Computing service equipment 5 & 0.9801 \\
5 & Computing service equipment 2 & 0.9646 \\
6 & Computing service equipment 6 & 0.9585 \\
7 & Computing service equipment 3 & 0.9521 \\
8 & Computing service equipment 7 & 0.9721 \\
9 & Computing service equipment 4 & 0.9526 \\
10 & Computing service equipment 8 & 0.9515 \\
11 & Display device & 0.9975 \\
12 & Remote air defense equipment & 0.9608 \\
13 & Short range air defense equipment & 0.9572 \\
14 & Electronic interference & 0.9726 \\
15 & Sonar & 0.9809 \\
16 & Torpedo & 0.9500 \\
17 & Against underwater defense weapons & 0.9500 \\
18 & Short range weapons to land & 0.9502 \\
19 & Remote weapons to land & 0.9500 \\
20 & Network equipment 1 & 0.9734 \\
21 & Network equipment 2 & 0.9781 \\ \hline \hline \end{tabular}
\end{table}