<p>Each line represents the convergence of the objection function in different numbers of the variables.</p
<p>Variables and their actual and coded values selected to perform the optimization.</p
<p>Parameters of the different approaches algorithms depending on the computational budget.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>The blue line represents the objective function value versus the simulation runs by using Algorit...
<p>The optimization processes of the optimal solution with different algorithms.</p
<p>The change of the value of the objective function as the number of evaluated solutions increases....
<p>Convergence performance on the Rastrigin function with different dimensions.</p
http://deepblue.lib.umich.edu/bitstream/2027.42/7453/5/bal9404.0001.001.pdfhttp://deepblue.lib.umich...
The obtained cost function values with respect to each run of different algorithms.</p
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>Convergence performance on the Dixon-Price function with different dimensions.</p
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Evolution of the misfit values of best available solution during the optimization framework execu...
<p>The objective functions and (floating solution form) versus iteration number for FISTA optimisa...
<p>Convergence performance on the Sum Squares function with different dimensions.</p
<p>Variables and their actual and coded values selected to perform the optimization.</p
<p>Parameters of the different approaches algorithms depending on the computational budget.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>The blue line represents the objective function value versus the simulation runs by using Algorit...
<p>The optimization processes of the optimal solution with different algorithms.</p
<p>The change of the value of the objective function as the number of evaluated solutions increases....
<p>Convergence performance on the Rastrigin function with different dimensions.</p
http://deepblue.lib.umich.edu/bitstream/2027.42/7453/5/bal9404.0001.001.pdfhttp://deepblue.lib.umich...
The obtained cost function values with respect to each run of different algorithms.</p
<p>A comparison of optimal fitness solutions in generations (iteration times).</p
<p>Convergence performance on the Dixon-Price function with different dimensions.</p
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Evolution of the misfit values of best available solution during the optimization framework execu...
<p>The objective functions and (floating solution form) versus iteration number for FISTA optimisa...
<p>Convergence performance on the Sum Squares function with different dimensions.</p
<p>Variables and their actual and coded values selected to perform the optimization.</p
<p>Parameters of the different approaches algorithms depending on the computational budget.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
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