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The optimum configuration of each operator is also explored by varying mutation parameters over a range of possible values.
In this study, a modified self-adaptive immune genetic algorithm (MSIGA) with two memory bases, in which immune concepts are applied to determine the mutation parameters, is proposed to improve the searching ability of the algorithm and maintain population diversity.
In addition, after not reaching the optimal strategy by performing the algorithm many times with one level of cross over and mutation parameters, we deduced that we should use crossover and mutation probabilities and mutation rate in some levels.
Non-equilibrium codon usage was simulated by adjusting effective population size or mutation parameters at the mstyeo node following the burn-in.
[28] software (with default heating and burn-in parameters) was used to obtain the base frequencies, mutation parameters and the best mutation model (according to the Akaike information criteria), which (for our data) was the general time reversible (GTR) model.
Each choice of scenario is supported by very high posterior probabilities using two different sets of prior distributions of demographic, historic and mutation parameters (Fig. 1, Table S2 and Table S3).
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Level of silent-site nucleotide diversities per site (Nei 1987) and population mutation parameter (Watterson 1975) was estimated.
If an intermediate mutation parameter maximizes the number of clusters, does this mean that this value of μ is optimal?
In all implementations of the model, a high level of historical contingency was observed for intermediate values of the mutation parameter μ.
Tajima's D contrasts estimates of the population mutation parameter θ, based on π, with those based on the number of segregating sites, for a given sample size.
The mutation parameter μ for each individual in the initial population was selected randomly from a uniform distribution between 0 and 1.
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