the convergence. The proposed algorithm is tested on a set of benchmark functions and compared with differential evolution … function evaluation, standard deviation and convergence rate. Results are validated through non-parametric statistical analysis. …

, in turn, is largely dependent on the evolving theoretical approaches known as systems biology and convergence that lead … systems biology and multi-scale modeling, the evolving efforts to promote convergence and the implications for personalized …

functions and two performance metrics. The convergence and diversity of C-MOCS and C-MOPSO are analysed and compared to the well …

, the authors introduce a new quality measure called the convergence index. The convergence index is a linear combination of … is perhaps more intuitive to use than other quality measures. The convergence index in the context of clustering problems … demonstrated is that the convergence index captures the notion that a SOM has learned the multivariate distribution of a training …

This paper examines a convergence process of organizing ideas that are generated during collaborative idea generation … convergence activity into smaller, discrete tasks that can be completed individually, and in parallel, by the participants. The …

capital utilization to the Solow model implies a rate of convergence in line with empirical estimates and that controlling for …