<p>Objective function’s values of the improved drawing algorithm when tuning refSize parameter.</p
<p>Parameters of the different approaches algorithms depending on the computational budget.</p
<p>Evolution of the misfit values of best available solution during the optimization framework execu...
Evaluation of the robustness of the cell size control to the parameter values.</p
<p>Objective function’s values of the improved drawing algorithm when tuning PRmaxIterations paramet...
<p>Objective function’s values of the improved drawing algorithm when tuning accelerationPeriod para...
<p>Objective function’s values of the improved drawing algorithm when tuning pathLength parameter.</...
<p>Objective function’s values of the improved drawing algorithm when tuning accelerationRate parame...
<p>Objective function’s values of the improved drawing algorithm when tuning pathSqrSize parameter.<...
<p>The change of the value of the objective function as the number of evaluated solutions increases....
<p>The objective functions and (floating solution form) versus iteration number for FISTA optimisa...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
<p>Parameters and parameter functions as applied to calculate the basic reproduction numbers .</p
<p>Each line represents the convergence of the objection function in different numbers of the variab...
<p>The blue line represents the objective function value versus the simulation runs by using Algorit...
<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
<p>Evolution of the misfit values of best available solution during the optimization framework execu...
Evaluation of the robustness of the cell size control to the parameter values.</p
<p>Objective function’s values of the improved drawing algorithm when tuning PRmaxIterations paramet...
<p>Objective function’s values of the improved drawing algorithm when tuning accelerationPeriod para...
<p>Objective function’s values of the improved drawing algorithm when tuning pathLength parameter.</...
<p>Objective function’s values of the improved drawing algorithm when tuning accelerationRate parame...
<p>Objective function’s values of the improved drawing algorithm when tuning pathSqrSize parameter.<...
<p>The change of the value of the objective function as the number of evaluated solutions increases....
<p>The objective functions and (floating solution form) versus iteration number for FISTA optimisa...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
<p>Parameters and parameter functions as applied to calculate the basic reproduction numbers .</p
<p>Each line represents the convergence of the objection function in different numbers of the variab...
<p>The blue line represents the objective function value versus the simulation runs by using Algorit...
<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
<p>Evolution of the misfit values of best available solution during the optimization framework execu...
Evaluation of the robustness of the cell size control to the parameter values.</p
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