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Will a different news-ranking algorithm increase the dwell times of the users?
Errors in the SST algorithm increase with increasing aerosol index estimates.
While computation times of the exact algorithm increase drastically with problem size, the proposed meta-heuristic algorithm provides near-optimal solutions within limited computation time for all instances.
The results indicate that the tree locations estimated by the algorithm increase parking lot overshadowing, indicating that the algorithm efficiently decreases the negative influence of urban overheating.
Nonlocal means algorithm increase the signal to noise ratio without destroying the original frequency spectrum structure, which can reserve the useful information farthest and meanwhile eliminate noise.
Furthermore, we show that the optimality gaps found by CPLEX grow exponentially with the problem size while those obtained by the proposed meta-heuristic algorithm increase linearly.
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As a result, the evolutionary algorithm increases its efficiency.
The efficiency of the RSD algorithm increases for larger m.
We also show that the allocation algorithm increases predictability by being completely independent of the scheduling technique used to generate the execution schedule for the HDF model.
The algorithm increases computing efficiency by allocating computation burden to networked computers.
Simulation results prove that our proposed algorithm increases success ratio and reduces service composition time.
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