Update README.md

Signed-off-by: Fabiana  🧬 Campanari <113218619+FabianaCampanari@users.noreply.github.com>

Author: FabianaCampanari

README.md

@@ -39,12 +39,12 @@ Constrained and unconstrained optimization. Linear Programming: formulation, geo
 
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-Optimization and simulation are two key areas in Operations Research, used for problem-solving and decision-making, but they approach these tasks differently[4][5]. Simulation creates a virtual model to analyze a system's behavior under various conditions, allowing for experimentation by varying parameters[1]. Optimization, on the other hand, employs mathematical algorithms to identify the best configuration of these parameters, aiming to maximize or minimize a specific objective, such as reducing costs or increasing efficiency.
+Optimization and simulation are two key areas in Operations Research, used for problem-solving and decision-making, but they approach these tasks differently. Simulation creates a virtual model to analyze a system's behavior under various conditions, allowing for experimentation by varying parameters. Optimization, on the other hand, employs mathematical algorithms to identify the best configuration of these parameters, aiming to maximize or minimize a specific objective, such as reducing costs or increasing efficiency.
 
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 **[Sim-Opt]() (Simulation-Optimization)**
-Sim-opt combines simulation and optimization techniques to provide a comprehensive and dynamic understanding of a system. This approach integrates real-world uncertainties with the search for ideal solutions[1]. By simulating the impact of each parameter and comparing it to an ideal scenario, sim-opt helps identify the factors that most influence a system's performance, leading to more strategic decisions.
+Sim-opt combines simulation and optimization techniques to provide a comprehensive and dynamic understanding of a system. This approach integrates real-world uncertainties with the search for ideal solutions. By simulating the impact of each parameter and comparing it to an ideal scenario, sim-opt helps identify the factors that most influence a system's performance, leading to more strategic decisions.
 
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