[EN] The use of pump working as turbine (PAT) instead of the traditional pressure regulation systems could allow for a recovery of the excess hydraulic energy to reduce the energy footprint of the water supply industry and at the same time control the water losses by an effective reduction in pressure induced by the turbine head drop. This research aims to explore the option of applying multiple recovery systems in a water network with an integrated multi-objective optimization using genetic algorithms. The objective of the optimization is to ensure a better use and effectiveness in the implementation of these solutions. A methodology to approach this multi-objective solution and the interface between components of the optimization is developed and presented. The evolutionary capacities of the optimization is analysed and the effects of the general convergence of the Pareto surface front with the adaptation of the final solutions to the available PATs. This work was funded by MCIN/AEI/10.13039/501100011033 [Grant PID2020-114781RA-I00].