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Optimization of Natural Ventilation process in highrise buildings is one of themost complex and least addressed phenomenon in the field of sustainablearchitecture. This issue requires urgent consideration to reduce the computationtime due to fast growing demand of vertical construction in metropolitan cities.Until recently most highrise buildings have been operated with mechanicalsystems, causing high energy loads in hot climates and have high carbonfootprints. Highrise buildings with natural ventilation and sky gardens canaddress these problems. This study involves the development of a GeneticAlgorithm (GA) addressing the multi objective optimization of natural ventilationin tall buildings incorporated with Sky-Gardens at different levels all connectedthrough a central ventilation shaft. The fitness function for this GA is composedof three scales; temperature reduction due to evapotranspiration of plants ofsky-gardens, optimum wind velocity for channelizing air inside the corridors andventilation shaft, and optimum building configuration. The aim is to find the bestsolutions for tall buildings constructed in hot climate through the provision ofoptimized airflow paths suitable for the effectiveness of natural ventilation, withina reasonably short computation time for supporting design processes at earlystage.