Sentence examples for optimize the fitness from inspiring English sources
Trees are evolved in order to optimize the fitness function, which evaluates both the tree performance in predicting the MOS, and its complexity (i.e., its number of nodes).
We can optimize the fitness of the population as a whole by first calculating population fitness F (Equation (27)) for a set of trade-off parameters.
GA optimized the fitness function using the defined constraints.
However, the non-linear method of Nelder Mead (by means of MATLAB function Fminsearch) perfectly optimized the fitness function with a negligible average error.
In the same spirit as for the one-nutrient system, we have optimized the fitness of the regulatory network over two different sets of Aext and Bext, differing in their emphasis on high-nutrient or low-nutrient environments.
Nevertheless, optimizing the fitness of a regulatory system can cause bistability at some nutrient levels, suggesting that such complex behavior can emerge even when it in itself is unfavorable, merely because the underlying mutations have a positive net effect on fitness.
The fact that h ¯ does not evolve straightforwardly to the position of the peak fitness in the first two cases shows that evolution does not automatically optimize the mean fitness of the population.
Specifically, based on various theories, the CUB should co-evolve with the tRNA pool and the tRNA codon interaction efficiencies to optimize the organism fitness; thus, CUB, tRNA levels, and tRNA codon interactions cannot be separated.
Hence, we used Eq. (14) to optimize the computations in fitness function evaluation.
Characterizing both the neural systems that receive relevant sensory input and the central brain regions that select the appropriate motor output is critical to understanding how a female fly chooses between competing environmental preferences to lay eggs to optimize the survival and fitness of her progeny.
Together, these findings indicate that neither trait may reach the ultimate evolutionary outcome characterized by optimizing the mean fitness function.
