The phrase "algorithm benchmarks" is correct and usable in written English.
It can be used when discussing the performance evaluation of algorithms, often in the context of computer science or data analysis.
Example: "The researchers conducted a series of algorithm benchmarks to compare the efficiency of different sorting methods."
Alternatives: "algorithm performance metrics" or "algorithm evaluation standards".
I developed the FASTQSim algorithm[2,3] to simulate complex, platform-indepentent HTS datasets for use as an algorithm benchmarking tool.
Next, we have studied performances of the above two solution concepts against max min fairness algorithm (benchmarked in our case) with respect to the above objectives of LSC.
The statistical analysis showed that TS 2-Opt Insertion provided better performance than a generic tabu search, TS 2-Opt Exchange, a generic genetic algorithm (benchmark) and simulated annealing outperforming them by between 1% and 9.12%.
Accounting for the CPU consumption of applications is crucial for software development to detect and remove performance bottlenecks (profiling) and to evaluate the performance of algorithms (benchmarking).
We show that UACOR-s is competitive with the best of the 19 algorithms benchmarked on the SOCO benchmark set and that UACOR-c performsuperioror to IPOP-CMA-ES and statistically significantly better than five other algorithms benchmarked on the CEC'05 set.
To compare the robustness of different algorithms, benchmark functions are optimized at 30 independent runs.
To achieve fair comparison between vSLAM algorithms, benchmarking is obviously important and its methodologies have been discussed in recent years.
Scharstein and Szeliski [27] described the procedures to define the Middlebury Database [28], which offers the most complete stereoscopic algorithms benchmark to date, and software to evaluate new algorithms to predict image parallax.
The 'intcomp' benchmarking package applied in this review is freely available at R-forge (http://intcomp.r-forge.r-project.org) to facilitate transparent comparisons and the addition of new algorithms, benchmarking procedures and validation data sets.
We choose to compare our proposed algorithms with these basic but practical algorithms as benchmarks, which are implemented in real systems and hardware.
