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We have examined different problem sizes and varying block sizes.
Table 1 shows the execution time for the optimal association for various problem sizes.
As shown, EA significantly performs well in all the problem sizes.
Comparing with Rkt for larger problem sizes it does not perform well.
By considering three problem sizes as small, medium and large, the model's parameters are set.
We have 10 problem sizes ranging from (n × m) = (3 × 3) up to (5 × 4).
The Rkt container gives better performance results for larger problem sizes.
The performances of the presented parallel algorithm are reported with different problem sizes.
In most problem sizes the BS method is faster than the EA.
This algorithm is used in various fields, and the problem sizes keep growing.
In Fig. 15, blocking percentage is shown for the three algorithms for different problem sizes.
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