Maximum likelihood trees were calculated in PhyML [43] using the online tool DIVER (http://indra.mullins.microbiol.washington.edu/cgi-bin/DIVER/diver.cgi), which implemented the evolutionary model GTR+I+G for all subjects.
When a reserve is implemented, the evolutionary response of this population is almost indistinguishable from that of a migratory population with a feeding-ground reserve.
The time-scaled phylogenetic tree on the third dataset was reconstructed by using the Bayesian Markov Chain Monte Carlo approach implementing the evolutionary model selected by ModelTest, setting the evolutionary rate to the value previously estimated and the best fitting models (so as for the clock and the demographic model) were selected using a Bayes factor (BF, using marginal likelihoods).
To solve the challenge of consistency, two different models can be adopted to implement the SDRAN architecture: "evolutionary" and "clean slate".
The mutation score is used only in the work of Henard et al. (2014), which implements the (1+1) Evolutionary Algorithm (EA) algorithm, and considers the operators defined in (Henard et al. 2013a).
Toward this goal, we annotate the software and hardware architecture with necessary reliability-relevant attributes, design a method to quantify the quality of individual deployment alternatives, and implement the approach employing an evolutionary algorithm.
We consider the reconstruction of signals from nonuniformly spaced samples using a projection onto convex sets (POCSs) implemented with the evolutionary time-frequency transform.
DJ implemented the stochastic simulation and evolutionary computation environments.
The objective of this project was to design and implement an evolutionary algorithm framework supporting the creation of images in the style of M. C. Escher based on subjective selection.
In the experimental part of the paper, we compare the performance of an evolutionary algorithm (implementing the two Cayley-encodings considered) in several OTNDP instances: first, we test the proposed techniques in randomly generated instances, and second, we tackle a real application of the OTNDP: the optimal design of an interactive voice response system (IVR) in a call center.
