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@@ -45,6 +45,8 @@ Sim-opt combines simulation and optimization techniques to provide a comprehensi
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4.**[Select population size]():** Choose the number of solutions for the evolutionary algorithm. The population size affects the reliability and time required for the search. Also, define other parameters such as the required precision, significance level, and number of replications[3].
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5.**[Analyze solutions]():** After the search, analyze the solutions found. Compare all solutions based on the objective function to identify the best and other competitive solutions[3].
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The [key difference]() between sim-opt and other analytical tools is its [ability to model the complexity and dynamics of real-world systems](), including data uncertainty and variability[1]. This allows for the creation of more robust and adaptable plans[1].
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