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YYB, ZY, JY, CYJ, GG, YP, LJC participated in collecting, implementing and running of algorithms.
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Table 3 shows the results of genetic algorithm output for 20 times running of the algorithm.
See Figure 3 for an example run of the algorithm.
In each successfully run of the algorithm, the fitness function is calculated according to individuals.
The running time of Algorithm 5 highly depends on T and the maximum degree Δ.
In general, any strategy that can reduce the running time of algorithm can be helpful for reducing energy consumption [22].
It is easy to see that the running time of Algorithm 1 is bounded above by a polynomial in and.
In all, the running time of Algorithm 2 is O(n + n m), proving the statements regarding All- Cavity- MCM and All- Pairs- Cavity- MCM in Theorem 1.
The running time of Algorithm 1 is dictated by the total time required to compute all entries in the DP matrices.
Figure 3 shows the results for 30 Monte Carlo runs of these three algorithms for several SNRs.
After each run of Algorithm 2, the cache is cleared (cf. Algorithm 1, line 7).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com