<p>Parameters of the different approaches algorithms depending on the computational budget.</p
<p>The weight parameters derived from the comparison of the model simulations and the experimental r...
The values of each parameter for each step of running proposed algorithm on the DAG graph of Fig 3.<...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Parameter estimates using in cost-impact analyses and sensitivity analysis.</p
<p>The optimization processes of the optimal solution with different algorithms.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The values for the range of parameters for the optimization search are approximate values, based ...
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
Numerical values for the estimation of the Pareto front in the genetic algorithm.</p
<p>Algorithm variations considered. For each tested algorithm (horizontal row), the indicated variat...
<p>The sensitivity analysis of relative contributions of each input parameters to the outputs.</p
<p>Computational times and accuracy comparisons of various algorithms on Schemes 1–4.</p
<p>The weight parameters derived from the comparison of the model simulations and the experimental r...
The values of each parameter for each step of running proposed algorithm on the DAG graph of Fig 3.<...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Parameter estimates using in cost-impact analyses and sensitivity analysis.</p
<p>The optimization processes of the optimal solution with different algorithms.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The values for the range of parameters for the optimization search are approximate values, based ...
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
Numerical values for the estimation of the Pareto front in the genetic algorithm.</p
<p>Algorithm variations considered. For each tested algorithm (horizontal row), the indicated variat...
<p>The sensitivity analysis of relative contributions of each input parameters to the outputs.</p
<p>Computational times and accuracy comparisons of various algorithms on Schemes 1–4.</p
<p>The weight parameters derived from the comparison of the model simulations and the experimental r...
The values of each parameter for each step of running proposed algorithm on the DAG graph of Fig 3.<...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
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