Sentence examples for mutation probability increased from inspiring English sources
In contrast, when mutation probability increased with male age, females generally preferred younger males (Fig. 1A, B).
In contrast, when mutation probability increased as a cubic function of male age, females exhibited a preference for younger males and against older males (Fig. 1B).
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.
When mutation probability increased linearly with male age, females generally evolved a preference for younger males and avoided intermediate age males (Fig. 1A).
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).
Yet, when mutation probability increased as a cubic function of male age, gamete mutation load was highest in the oldest age classes, despite the fact that these males were of the highest somatic quality.
For fixed mean γ ¯, the genetic variance increases monotonically with the scale γ ^ because a larger mutation probability increases the variance.
It is seen that as the mutation probability increases, the quality of the solutions decreases, and for two instances, HGA with a probability of 0.04 obtains worse solutions than the HGA without a mutation operator.
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.
When mutation probability increases in a non-linear fashion with respect to male age, Crow [26] found that an exponential function with a cubic term best describes the increase in mutation rate with male age in humans.
For a class of Genetic Algorithms, we provide theoretical underpinning of a class of empirically derived results, by proving that the algorithms degenerate to randomised, cost-independent search as mutation probabilities increase.
