Sentence examples for improving the evolutionary from inspiring English sources

The duplication of pre-existing genes had profound evolutionary implications for the developmental complexity in vertebrates, since mutations modifying the function of a duplicated protein can lead to novel functions, improving the evolutionary success.

Its application to the optimization of a combined cycle power plant is examined to demonstrate, whether the exergoeconomic method can be used to improve the evolutionary optimization technique.

This study proposes an enhanced particle swarm optimizer incorporating a weighted particle (EPSOWP) to improve the evolutionary performance for a set of benchmark functions.

In addition, other types of data, such as synteny or evolutionary information, and protein structure and families could improve the evolutionary comparison of functional modules.

This integrated approach enabled us to improve the evolutionary history of both Kiss and KissR families in the sauropsid lineage and to demonstrate, for the first time, the presence of a Kiss2-like gene in the genome of three different bird species.

We improved the evolutionary models for likelihood analysis by properly partitioning the gene data, removed the eight taxa with the longest branches, and used RY coding to lessen the effects of saturation and base composition heterogeneity (Delsuc et al. 2003; Phillips and Penny 2003).

This paper presents two methods which aim at improving the efficiency of evolutionary algorithms (EAs) and metamodel-assisted EAs (MAEAs) used to solve multi-objective optimization problems with computationally expensive evaluation tools.

Improving the utility of evolutionary perspectives for practitioners is of concern in all domains.

To further understand whether Kiss genes have been lost in birds and to improve the Kiss evolutionary scenario, we focused on the diversity of newly described Kiss genes among the sauropsids.

This work is focused on improving the computational efficiency of evolutionary algorithms implemented in large-scale structural optimization problems.

While the basic experimental procedure for laboratory adaptive evolution has remained broadly similar for many years, a range of recent advances show promise for improving the experimental workflows for evolutionary engineering by accelerating the pace of evolution, simplifying the analysis of evolved mutants, and providing new ways of linking desirable phenotypes to selectable characteristics.