Sentence examples for mutation probabilities with from inspiring English sources

Figure 18 shows the variation of crossover and mutation probabilities with every 20 iterations.

So, we ran GA with population sizes of 100, 200, 300, 400 and 500 with different crossover and mutation probabilities with respect to the huge size of the problem.

The proposed GP method combines different techniques for tuning of crossover and mutation probabilities with an orthogonal least-squares (OLS) algorithm to estimate the contribution of the branches of the tree to the accuracy of the discrete polynomial Nonlinear AutoRegressive with eXogenous inputs (NARX) model.

Linear increases in mutation probability with male age did not outweigh the effect of viability selection on male quality.

In contrast, non-linear increases in mutation probability with male age might be due to selection for mutations in the germline prior to meiosis [35], [36].

A linear increase in mutation probability with male age could be attributed to continual stem cell divisions in male germ cells [35].

We use a simulation model based on a genetic algorithm [8] to determine (a) whether increased mutation probability with male age will influence male gamete mutation load, and consequently, female preference based on male age; and (b) whether female preference based on male age can lead to a reduction in average mutation load for males.

However, our null-hypothesis is computed at the nucleotide level because the null-hypothesis states that the selected-clone mutation probabilities are consistent with the unselected-clone mutation probabilities.

In contrast with this prediction, we found that female preference was often negatively correlated with male somatic quality when mutation probability increased with male age.

While the 'somatic' genetic quality of an individual may not change with age, the gamete mutation load of an individual can increase with age if germ-line mutation probability increases with age.

Interestingly, opposite to what would be predicted, when mutation probability increased with male age, female preference was negatively correlated with relative male somatic quality, after controlling for relative gamete mutation load (Fig. 2C, D).