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Genetic algorithms (GAs) is one of the most effective evolutionary algorithms.
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The required up-regulation of genes in the heterogametic sex together with tolerance of overexpression in the female sex, will determine the levels of expression regulation that are most effective for evolutionary change.
Addressing these uncertainties is necessary to develop management regimes that are most effective in limiting evolutionary change caused by fishing.
But the picture, as most good evolutionary psychologists point out, is more complex than this.
These results indicate that throughout their recent primary-structurally effective evolutionary history, most human coding regions are likely to have mutated less than they would under closely matched 4×4 regimes.
The implication of dual state and parameter estimation using the PFs in hydrology has evolved since 2005 from the PF-SIR (sampling importance resampling) to PF-MCMC (Markov Chain Monte Carlo), and now to the most effective and robust framework through evolutionary PF approach based on Genetic Algorithm (GA) and MCMC, the so-called EPFM.
We need to reconvene, refocus and then redouble our efforts to gain insight into the evolutionary process, using genetic data where it can be the most effective and allow greatest testing of evolutionary hypotheses.
However, what is lacking are careful assessments (both empirical and theoretical), using ecological and evolutionary principles, of the most effective disease resistance deployment strategies (including spatial considerations) that will maximize both the short-term epidemiological and the longer-term evolutionary benefits of different combination strategies.
When familiar genotypes are compared to unfamiliar genotypes of the same species, the pathogen should be most effective at exploiting the genotypes with which it shares an evolutionary history.
And suddenly it all goes black as one of the greatest, most effective predators in the animal kingdom begins using millions of year of evolutionary adaptation to mangle my body.
Assessing ecological and evolutionary consequences of invasions simultaneously may therefore be the most effective approach to study taxa with complex invasion histories.
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