This research proposes a genetic algorithm that provides a solution to the problem of\ndeficient distribution of drinking water via the current hydraulic network in the neighborhood\nâ??Fraccionamiento Real Montecasinoâ? (FRM), in Huitzilac, Morelos, Mexico. The proposed solution is\nthe addition of new elements to the FRM network. The new elements include storage tanks, pipes,\nand pressure-reducing valves. To evaluate the constraint satisfaction model of mass and energy\nconservation, the hydraulic EPANET solver (HES) is used with an optimization model to minimize\nthe total cost of changes in the network (new pipes, tanks, and valves). A genetic algorithm was used\nto evaluate the optimization model. The analysis of the results obtained by the genetic algorithm\nfor the FRM network shows that adequate and balanced pressures were obtained by means of small\nmodifications to the existing network, which entailed minimal costs. Simulations were performed\nfor an extended period, which means that the pressure was obtained by simulation with HSE at\none-hour intervals, during the algorithm execution, to verify adequate pressure at a specific point in\nthe system, or to make corrections to ensure proper distribution, this with the aim of having a final\noptimized network design.
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