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In DE algorithm, mutation operation is carried out by randomly selecting three parents such that (qq ne bar{r}_{1} ne bar{r}_{2} ne bar{r}_{3}).
In ITS algorithm, mutation operation, a main operator used in genetic algorithm, is introduced to weaken the dependence of global search ability on tabu length.
In a genetic algorithm, mutation serves the role of either replacing the genes lost from the population during the selection process or providing the genes that were not present in the initial population, exploring new possibilities of solutions [ 33].
*HIV load in log10 copies/ml; Mutations in bold are only considered by both IAS and Stanford University HIV drug resistance algorithm; Mutation in Italics are reported by IAS only.
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Thus, the algorithm (Mutations with Common Focal Alterations, or MutComFocal) seeks focal copy number alterations and recurrent point mutations within high throughput data from large panels of tumor samples.
Prediction of functional effects of the novel variations was done using algorithms Mutation Taster, SIFT and PROVEAN.
In the proposed algorithm, the mutation operation is Gaussian mutation [36].
In the proposed algorithm, uniform mutation is employed and mutation probability is considered 0.1 in this operator.
In the proposed algorithm, the mutation operator adopted is tabu search mutation operator.
Czarn et al. [12] studied the influence of two genetic algorithm parameters: mutation and crossover rates.
For the EP algorithm, the mutation introduced randomness into a current solution.
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