Sentence examples for diversification metrics from inspiring English sources

Diversification metrics (DM).

The average values for diversification metrics in NSGA-II are greater than decomposition methods in all test problems.

To show the effectiveness of the proposed algorithm, several test instances were conducted and the results were compared with each other with respect to five comparison metrics (quantity of non-dominated points, spacing metrics, diversification metrics, space covered, and covered solution).

Diversification metrics indicates the dispersion and diffusion of the non-dominant solutions in the Pareto space, which is briefly mentioned as DM in Tables 12 and 13 and can be calculated from Eq. (45): {text{DM}} = sqrt {sumnolimits_{i = 1}^{n} {hbox{max} (left| {x_{i} - y_{i} } right|)} }, (45 where x i represents the non-dominant solution (i) and y i represents the other non-dominant solution.

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.

The comparison metrics for large-sized and small-sized problems are the same and we use number of Pareto solutions (NPS),two spacing metrics (SM1,SM2) and diversification metric (DM) for comparison of algorithms. 1. NSGA-II parameters The algorithm is terminated after 50 iterations.

Finally, we compared these diversification profiles and metrics against the distribution of the climate modes of the Panerozoic following Frakes et al. [ 21], as well as the global temperature model of Scotese [ 22].

Previous research investigating these relationships have used varied metrics to represent diversification, including extant clade size [ 1, 5], node number [ 6, 8] and diversification rate [ 4].

The key metrics include customer diversification, free cash flow, balance sheet strength, new business backlog and capital efficiency.

We expect to improve the performance of the proposed model for large instances by extending the diversification stage to consider other metrics for calculating the similarity between two chromosomes.

We formulate the problem of sequential diversification for iterative data exploration, together with metrics that capture both the efficiency and effectiveness of diversification (Sect. 2).