Sentence examples for ranking evolution from inspiring English sources

SRES (stochastic ranking evolution strategy) is an evolutionary optimization algorithm, which is encoded in our software SBML-PET [29].

The parameter estimation for the 7 unknown values of rate constants was done using a modified version of the tool SBML-PET [24], which incorporates stochastic ranking evolution strategy (SRES) for parameter estimation jobs.

Based on the above, the following methods were selected attending to their previously reported performance: SRES, the stochastic ranking evolution strategy method [ 32].

In [ 19], many deterministic and stochastic global optimization (GO) methods for parameter estimation were further compared using a three-step pathway model with noise free data assumption; the best result was given by the Stochastic Ranking Evolution Strategy (SRES) method.

Later on, Fomekong-Nanfack et al. [ 51] proposed 101 gap gene circuits obtained using hybrid methods composed of a stochastic ranking evolution strategy [ 91] followed by direct search [ 92].

In this methodology, we successively perform the analysis of model nonlinearity, module importance ranking and its evolution with time, module-by-module parameter screening, quantitative analysis of both intra- and inter-module interactions, and the analysis of the complete model with a reduced number of parameters due to parameter screening.

CITATION: "Divergent Paths: Structural Change, Economic Rank, and the Evolution of Black-White Earnings Differences, 1940-2014," Patrick Bayer and Kerwin Kofi Charles.

The majority of participants who accepted evolution ranked factors related to evidence most highly among those leading to their acceptance.

The generations of populations are evaluated and ranked during the evolution process based on goodness-of-fit functions used to optimize the models and calculated in CV, maximizing the accuracy and minimizing the number of descriptors.

The model of sequence evolution ranked highest by AIC for the dataset was the Tamura-Nei model (TrN + I + Γ) but because TrN is not an option in MrBayes, and this model is a special case of the general time reversible model (GTR) we used GTR + I + Γ.

This model facilitates tracking divergent adaptive and speciational evolutions and the identification and ranking of driving forces of evolution, for example, mutation, genetic drift, gene flow, and natural selection.