Diseño de optimización de la red matriz del acueducto del municipio de Albán Cundinamarca, mediante métodos metaheurísticos.
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In this study, the design of an optimization method for the main aqueduct network in the municipality of Albán has been addressed. The approach was based on the implementation of metaheuristic algorithms in the C# software environment. The specific objectives of the study included the selection of a suitable approach to 5 optimize the aqueduct network, taking into account its particularities and restrictions. The implementation of this approach was achieved through the C# programming language, which allowed to accurately model and analyze the complexity of the water distribution network in the municipality. The metaheuristic algorithm was run on the Albán aqueduct network, and the results demonstrated the effectiveness of this approach in improving efficiency and reducing energy losses in the system. The comparison between the existing aqueduct network and the optimized one revealed significant differences in terms of costs and efficiency, supporting the feasibility of the proposed solution. In the context of engineering, this study provides an innovative perspective to address optimization challenges in municipal aqueduct systems. The successful application of metaheuristic algorithms programmed in the C# software language to solve design and efficiency problems in water distribution shows a promising path for more effective management of water resources in other locations with similar characteristics to Albán. Regarding recommendations, it is suggested to consider the practical implementation of the optimal solution in the Albán aqueduct network, in coordination with local authorities and engineering experts. Furthermore, keeping a constant update of the relevant data is essential to maintain the efficiency of the optimized system. Given the success of this approach in Albán, it would be beneficial to explore the possibility of applying similar methods in other municipalities facing similar challenges in managing their aqueduct network.
