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The number of auxiliary data for different benchmarks with different capacity is illustrated in Table 1.
The performance of our algorithm is evaluated on six multiobjective benchmarks with different Pareto front features.
The proposed scheme has been evaluated with five benchmarks with different applications.
We test GA-ETI with five well-known benchmarks with different computing and data transfer demands in our VMware-vSphere private cloud.
In order to assess the scalability, efficiency and robustness of the proposed algorithm, the experiments have been carried out on realistic, synthetic and random benchmarks with different dimensions.
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The substructure search performance was benchmarked with different configuration settings.
His results are further supported by Hassan (2001) who used same benchmark with different data set (1996 2000).
Through benchmark with different grid discretization approaches, the EDFN model provides very consistent results and its accuracy is validated.
A comparison of financial data has to be undertaken with care, especially in an international benchmark with different price levels and national reimbursement systems per country.
Complete results for all the benchmarks and with different methods are included in the Additional file 1.
Detailed studies have been carried out on benchmark problems with different chaotic maps.
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