Update README.md

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

Author: FabianaCampanari

README.md

@@ -29,9 +29,9 @@ Optimization and simulation are two key areas in Operations Research, used for p
 Sim-opt combines simulation and optimization techniques to provide a comprehensive and dynamic understanding of a system[1]. 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[1].
 
 [**Benefits of Sim-Opt**]()
-*   **Analyzing uncertain scenarios:** Sim-opt evaluates the impact of unpredictable events and helps plan strategies to manage risks[1].
-*   **Optimizing processes:** It identifies bottlenecks and opportunities for improvement and defines the best practices for various situations[1].
-*   **Making informed decisions:** Sim-opt bases decisions on data and simulations, reducing uncertainty and the risk of errors[1].
+*   **[Analyzing uncertain scenarios]():** Sim-opt evaluates the impact of unpredictable events and helps plan strategies to manage risks[1].
+*   **[Optimizing processes]():** It identifies bottlenecks and opportunities for improvement and defines the best practices for various situations[1].
+*   **[Making informed decisions]():** Sim-opt bases decisions on data and simulations, reducing uncertainty and the risk of errors[1].
 
 [**How to Implement Optimization in Simulation Models**]()