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The proposed system improves the existing bubble sort, a new technique is applied on the design to sort an manage files rather than integers. The new system reduces the quadratic time complexity of the algorithms an checks each step of the sorting level to avoid unnecessary loop if the preceded files are sorted in the necessar order.

Figure 3 The proposed system improves the existing bubble sort, a new technique is applied on the design to sort an manage files rather than integers. The new system reduces the quadratic time complexity of the algorithms an checks each step of the sorting level to avoid unnecessary loop if the preceded files are sorted in the necessar order.

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Table 1 described the parameter used for the simulation. The bubble sort parameter in table 1 wa implemented in MATLAB and the analysis results are presented in Figure 1. The insertion sort parameter: were implemented in MATLAB and the analysis results are presented.
Table 1 described the parameter used for the simulation. The bubble sort parameter in table 1 wa implemented in MATLAB and the analysis results are presented in Figure 1. The insertion sort parameter: were implemented in MATLAB and the analysis results are presented.
Sharma (2015) presented a new approach to improve worst case efficiency of Bubble Sort. In the study, the proposed algorithm has been compared with normal bubble sort and insertion sort on different size of input elements in reverse order. Results obtained are shown in the Table 4. Oyelami (2007) proposed an improvement on performance of bubble sorting using a modified diminishing increment sorting. The proposed algorithms has fewer number of comparison and swap compared with bott Batcher’s odd-even sort and Bitonic sort as shown in Table 3. The result also show that as the size of the input increases, the proposed algorithm tends to be more efficient as both Batcher’s odd-even and bitonic sort are not good for large values of input.
Sharma (2015) presented a new approach to improve worst case efficiency of Bubble Sort. In the study, the proposed algorithm has been compared with normal bubble sort and insertion sort on different size of input elements in reverse order. Results obtained are shown in the Table 4. Oyelami (2007) proposed an improvement on performance of bubble sorting using a modified diminishing increment sorting. The proposed algorithms has fewer number of comparison and swap compared with bott Batcher’s odd-even sort and Bitonic sort as shown in Table 3. The result also show that as the size of the input increases, the proposed algorithm tends to be more efficient as both Batcher’s odd-even and bitonic sort are not good for large values of input.
Figure 2 shows an existing Bubble sort, it was designed to sort integers, it sort based with redundant comparison it compare two adjacent data or input and swap them based on ascending order if the first element is larger or descending if the first element is smaller.
Figure 2 shows an existing Bubble sort, it was designed to sort integers, it sort based with redundant comparison it compare two adjacent data or input and swap them based on ascending order if the first element is larger or descending if the first element is smaller.
The result of this study revealed an improved sort algorithm. The proposed improved bubble sort algorithm was able to sort files; the new system checks each step of the loop to avoid unnecessary loops especially if the preceding files are already sorted. G. Discussions
The result of this study revealed an improved sort algorithm. The proposed improved bubble sort algorithm was able to sort files; the new system checks each step of the loop to avoid unnecessary loops especially if the preceding files are already sorted. G. Discussions
Figure 4: Output of the Improved Sort Algorithms
Figure 4: Output of the Improved Sort Algorithms
Related topics:
Non-dominated Sorting Genetic Algorithm-II (NSGA-II)Non-Dominated Sorting Genetic AlgorithmFederal University of Technology Akure
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