Sentence examples for method with genetic from inspiring English sources

Reference [12] presented a method with genetic algorithm and particle swarm optimization to find the optimal location and the number of buses to be split.

On the other hand, due to convergence problems with ML estimation, only results for the MSP method with genetic algorithms are given.

We validate the method with genetic controls in the avian cell line DT40 and use it to examine the intracellular dynamics of PCNA ubiquitination following subnuclear UV irradiation.

Phylogenetic trees were inferred using the neighbour-joining distance method, with genetic distances calculated using Kimura's two-parameter model (K2P and bootstrapping test) in MEGA 4.0.

Phylogenetic trees were constructed using the neighbor-joining method with genetic distances computed using the pairwise deletion model and bootstrap analysis of 500 values and root on midpoint (i.e. midpoint of the longest pathway between two clusters of sequences).

It emphasizes on several robust and practical inverse algorithms developed through the combination of different types of optimization methods, such as gradient-based methods with genetic algorithms and intergeneration projection genetic algorithms.

Based on this hypothesis, we combined spatial statistical methods with genetic analytic techniques and explicitly used geographic space to explore genetic evolution of H5N1 highly pathogenic avian influenza viruses at the sub-national scale in Vietnam.

The ultimate goal is to integrate modern statistical methods with genetic data and biological knowledge, which will further improve the power to detect complex interactions (54).

A full-vectorial finite element method combined with genetic algorithm is used to optimize the fiber's profile as well as to accurately determine its modal properties.

This relates the surface charge induced on the body to the potential in a reciprocal Laplace problem, which is then calculated by charge simulation method coupled with genetic algorithms to determine the appropriate arrangement of simulating charges inside the human body.

3D QSAR analysis by kNN-molecular field analysis approach developed based on principles of the k-nearest neighbor method combined with Genetic algorithms, stepwise forward variable selection approach; a leave-one-out cross-validated correlation coefficient (q2) of 0.6516 and a non-cross-validated correlation coefficient (r2) of 0.8316 and pred_r2 0.6954 were obtained.