## 6 Experimental Results
### Experimental Results
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline _Popsize_ & _Maxgen_ & \(D\) & **Result** & **DE** & **PSO** & **BA** & **WDO** & **QPSO** & **QBA** & **QWDO** \\ \hline \multirow{3}{*}{30} & \multirow{3}{*}{200} & \multirow{3}{*}{5} & Mean & **59.47631887** & 69.697987972 & 79.69109684 & 71.34530853 & 63.43087561 & 68.98614459 & 68.96129066 \\  & & & Best & **53.50706462** & 53.78972474 & 53.65716479 & 69.87539134 & 53.51528812 & 53.71340066 & 57.98320586 \\  & & & Worst & 69.41083451 & 122.5251479 & 153.561503 & 74.74310818 & 69.65781726 & 69.70146844 & **69.34914343** \\ \hline \multirow{3}{*}{30} & \multirow{3}{*}{200} & \multirow{3}{*}{10} & Mean & 51.65071551 & 51.46197291 & 51.63995084 & 52.22163684 & 51.09958359 & 51.09603877 & **50.7143172** \\  & & & Best & 50.71342237 & 50.76572646 & 50.75929951 & 51.70051826 & 50.73093318 & 50.74767855 & **50.7133255** \\  & & & Worst & 56.58333938 & 54.59093708 & 63.46628192 & 52.82754363 & 53.39086949 & 53.84706658 & **50.7210475** \\ \hline \multirow{3}{*}{30} & \multirow{3}{*}{200} & \multirow{3}{*}{15} & Mean & 50.66037482 & 51.5051898 & 51.87380989 & 52.44224824 & 50.76853918 & 50.89080424 & **50.58231653** \\  & & & Best & 50.44144089 & 50.71382405 & 50.7089696 & 51.60532311 & 40.88687611 & 50.49293993 & **50.4426616** \\  & & & Worst & 53.13766883 & 55.044921 & 60.46255447 & **53.1616578** & 53.313076469 & 53.69492302 & 54.54535767 \\ \hline \multirow{3}{*}{30} & \multirow{3}{*}{200} & \multirow{3}{*}{20} & Mean & **50.7261529** & 51.4567218 & 53.359776785 & 52.97445056 & 51.07754398 & 51.0110708 & 50.99020665 \\  & & & Best & 50.44379211 & 50.80930764 & 50.63331206 & 52.06541936 & 50.48490215 & 50.54761522 & **50.39488366** \\  & & & Worst & 53.01708277 & 53.35679952 & 62.1522776 & 54.06882944 & 53.41618848 & 53.19280513 & **52.87373122** \\ \hline \multirow{3}{*}{30} & \multirow{3}{*}{200} & \multirow{3}{*}{25} & Mean & 51.28794992 & 51.7891286 & 53.92302186 & 53.73746145 & 52.16273619 & 52.02298198 & **50.91502774** \\  & & & Best & 50.48966734 & 50.99255379 & 50.80805259 & 51.49756894 & 50.92275235 & 50.67574917 & **50.38774681** \\ \cline{1-1}  & & & Worst & 57.87611595 & **54.01746732** & 58.7886887 & 54.84758084 & 54.91448413 & 54.12956224 & 55.70310267 \\ \hline \hline \end{tabular}  
* DE: difference evolution; PSO: particle swarm optimization; BA: bat algorithm; WDO: wind driven optimization; QPSO: quantum particle swarm optimization; QBA: quantum bat algorithm; QWDO: quantum wind driven optimization.  
\end{table} 
Table 9: Experimental results for the first test instance in different \(D\). Meanwhile, Figures 8-12 have shown evolutionary process of fitness value on different \(D\). In Figure 8-12, we can see that QWDO algorithm has a faster global convergence speed and higher convergence precision, except \(D=5\) and \(D=20\). When the maximum number of iterations is not the same, the results will also be different. Table 10 shows the mean results, the best fitness value and the worst fitness value between the algorithms of 50 independent runs. In the following tables, bold results indicate that the algorithm performed the best. Figure 8: Fitness of the first instance for \(D=5\). Figure 6: Result of the first instance for \(D=20\). Figure 7: Result of the first instance for \(D=25\). In Table 10, we can see that the mean normalized optimization results of QWDO algorithm on UCAV path planning problem performs the best, except in _Maxgen_ = 250. We can see in Table 10, in all different _Maxgen_, the best-normalized optimization results of QWDO algorithm on UCAV path planning problem are the best. As can be seen in the Table 10, although the worst normalized optimization results of QWDO algorithm in _Maxgen_ = 50 and _Maxgen_ = 100 is not the best, in the rest of the cases, QWDO algorithm performed best. Through the above data we can find QWDO algorithm is very efficient in solving the UCAV path-planning problem. The performance of QWDO is better than other optimization algorithms.