## 5 Results and Discussion
### Analysis of the Test Results  
In the case of random walk, the average difference in fitness values of the solutions received by the operators is almost the same, the hamming and basic swap sequence  
Figure 19: The evolvability along the iterations in case of cycle crossover (**a**) and partially matched crossover operator (**b**). Figure 20: The evolvability in case of 2-opt (**a**) and order crossover operator (**b**). distances are very similar, in the case of order crossover and partially matched crossover the distances are slightly larger than in 2-opt and cycle crossover. Cost of density values also range from 1 to 2, so fitness values are also unique. In the case of a cycle crossover, the cost of density diagram shows that several solutions have the same fitness value, although the number of solutions with the same fitness value is only between 1 and 3. The distances from the best solution also move in large intervals, which also means that the space is well mapped by these operators. Table 6 analyzes the efficiency of the operators (2-opt, order crossover, cycle crossover, partially matched crossover). The table shows that 2-opt and partially matched crossover (PMX) are more effective than cycle crossover (CX) and order crossover (OX). The partial information content value was the highest for the partially matched crossover, which means a flat landscape, so this technique proved to be the best during the measurement. In the case of the cycle crossover, the partial information content value is the lowest, so this technique proved to be the worst during the measurement. The expected partial information content value is also the highest for the partially matched crossover, so this technique proved to be the best. The information stability value is highest for 2-opt and lowest for cycle crossover. The value shows the largest change in fitness of the neighbors, which means that the higher the value for an operator, the more worthwhile it is to use. In the case of order crossover and partially matched crossover, the value between 2-opt and cycle crossover was obtained, which is almost the same for the two operators. The lower the entropy, information content, density basin information values, the better the landscape, because this means that the search is moving in the same direction (increasing or decreasing the fitness value of the neighbor of the current solutions). 2-opt has the lowest entropy and CX has the largest. The order crossover and partially matched crossover values are nearly the same, between 2-opt and order crossover. The 2-opt has the lowest information content value and the cycle crossover has the largest. The order crossover and partially matched crossover values are nearly the same, between 2-opt and order crossover operators. Of the density basin information values, CX gave the highest value and OX the lowest. According to the regularity diagram, the difference between the solutions of the cycle crossover is the largest, here we find the largest jumps. In the case of 2-opt, the jumps are the smallest. Evolvability values are much higher on average for 2-opt and partially matched crossover than for cycle crossover and order crossover, so it is better to use 2-opt and partially matched crossover operators. The higher the value of evolvability, the better the solution, because the more neighbors of the current solution are better than the current \begin{table}
\begin{tabular}{c c c} \hline \hline \multicolumn{3}{c}{**Summary Results**} \\ \hline
**Analysis Method** & **Efficient Operator** & **Weak Operator** \\ \hline \multicolumn{3}{c}{2-opt} \\ The comparison of results to each other & OX \\  & PMX \\ \hline Partial Information Content & PMX & CX \\ Expected Partial Information Content & PMX & CX \\ Information Stability & 2-opt & CX \\ Entropy & 2-opt & CX \\ Information Content & 2-opt & CX \\ Density Basin Information & OX & CX \\ Regularity & 2-opt & CX \\ Evolvability portrait & 2-opt & CX \\  & PMX & OX \\ \hline \hline \end{tabular}
\end{table}