AcHEe can serve as a benchmark suite, to evaluate current and future computational devices from the perspective of heterogeneity and approximations.
Hatem et al. introduced a benchmarking suite to analyze mapping tools [ 8], which consists of tests that cover input properties and algorithmic features.
We use the CEC'2010 benchmark suite of 18 functions to analyze the quality, time and scalability performance of BRGA.
Performance of the proposed algorithm is compared with a number of state-of-the-art multimodal optimization algorithms over a benchmark-suite comprising of 21 basic multimodal problems and 7 composite multimodal problems.
On the other hand, few of those include a benchmarking suite that can validate several bioinformatic tools and compare their performance and biological relevance.
Figure 2 shows the differences between scores of different motif discovery tools on the benchmark suites of Sandve et al. (2007).
The benchmark suite consists of different programs which perform a variety of tasks like cache-aware simulated annealing (canneal), frequent itemset mining (freqmine), online clustering (streamcluster), image processing (vips), video encoding (x264), etc.
The Parsec benchmark suite consists of different programs which perform a variety of tasks like cache-aware simulated annealing (canneal), frequent itemset mining (freqmine), online clustering (streamcluster), image processing (vips), video encoding (x264), etc.
The resulting suite offers 1) an alternative benchmark suite to evolutionary algorithms; 2) a novel method of assessing novel algorithms; and 3) meaningful training and testing problems for evolutionary algorithm selectors and portfolios.
The benchmark suite consists of the NK - Kauffman complex landscape, with various sizes and complexities, which is chosen as an exemplar case of classical NP-complete optimization problem.
