Sentence examples for comparisons metrics from inspiring English sources

The comparisons metrics are similar to small-sized problems, and we employ number of Pareto solutions (NPS), spacing metrics (SM), and diversification metric (DM) for comparison of algorithms.

To validate the proposed algorithms various test problems were designed and the algorithms were compared to decomposition methods by means of comparisons metrics such as number of Pareto solutions NPS), two pacing metrics (SM1, SM2) and diversification metric DM).

These comparison metrics are defined as follows: Quality Metric (QM): This kind of the metric was applied by Schaffer (1985).

The image comparison metrics confirm this.

Comparison metrics were signal‐to‐noise ratio, coefficient of variance and percent signal increase.

Finally, the foregoing meta-heuristics are compared together through different comparison metrics.

Comparison metrics based on accuracy and diversity of Pareto front are calculated for both methods.

The two topology-comparison metrics we employed, edit distance and Robinson-Foulds symmetric distance, yielded different but highly complementary measures of performance.

The comparison metrics between simulated and measured data were the Pearson's correlation coefficient (r) and the normalized root-mean-square error (NRMSE .Good agreement between measured and simulated MTF and NPS values was observed.

The comparison metrics like spacing, number of Pareto solutions, time, mean distance from the ideal solution and diversity are used to evaluate the quality of solutions.

Moreover, three comparison metrics, F fit measure, κ statistic, and Spearman rank correlation coefficient, are computed to compare the results of these two approaches.