<p>The fitness value of various algorithms for Ackley and Griewank during increasing iterative times.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
a<p>Mean fitness ± SD, n≥5 for each lineage.</p>b<p>Mean fitness for set of lineages ± SD, n = 12 li...
<p>Statistics of the best and average fitness values solutions, along with the 95% CI values.</p
<p>The fitness value of various algorithms for Rastrigin and the Solomon problem during increasing i...
<p>The fitness value of various algorithms for Quartic and Sum squares during increasing iterative t...
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>ANOVA on the coefficient of variation across time and comparing the three methods used to estimat...
<p>The fitness values obtained from different methods for non-biological datasets.</p
Graphical representation of the evolution of fitness with CPU time spent for Set A continuous proble...
Performance statistics of the tested algorithms at different activity levels.</p
<p>The comparison solving time (s) of two algorithms with coefficient varying.</p
<p>Comparison of the fitness parameters according their duplication time in hours.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>The fitness of the population (normalized to the overall best individual) as a function of the ge...
<p>Fitness values determined using randomly selected cooling factors, at a fixed initial temperature...
<p>The performances of the different classification algorithms as a function of the number of trials...
a<p>Mean fitness ± SD, n≥5 for each lineage.</p>b<p>Mean fitness for set of lineages ± SD, n = 12 li...
<p>Statistics of the best and average fitness values solutions, along with the 95% CI values.</p
<p>The fitness value of various algorithms for Rastrigin and the Solomon problem during increasing i...
<p>The fitness value of various algorithms for Quartic and Sum squares during increasing iterative t...
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>ANOVA on the coefficient of variation across time and comparing the three methods used to estimat...
<p>The fitness values obtained from different methods for non-biological datasets.</p
Graphical representation of the evolution of fitness with CPU time spent for Set A continuous proble...
Performance statistics of the tested algorithms at different activity levels.</p
<p>The comparison solving time (s) of two algorithms with coefficient varying.</p
<p>Comparison of the fitness parameters according their duplication time in hours.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>The fitness of the population (normalized to the overall best individual) as a function of the ge...
<p>Fitness values determined using randomly selected cooling factors, at a fixed initial temperature...
<p>The performances of the different classification algorithms as a function of the number of trials...
a<p>Mean fitness ± SD, n≥5 for each lineage.</p>b<p>Mean fitness for set of lineages ± SD, n = 12 li...
<p>Statistics of the best and average fitness values solutions, along with the 95% CI values.</p
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