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The space allocation problem has taken an important role in different fields. For instance, placing items in a warehouse where it is essential to take advantage of the available space and meet the production requirements. Similarly, the parking slot allocation for automobiles in a car parking in which there are occasions where a lack of proper distribution of the automobiles exist. In the same sense, the space allocation for crops in a land for cultivation in which it is important to take into account factors and features such as humidity and pH. In this paper, an intelligent organizer of objects is presented using Genetic Algorithms (GA) and Hill Climbing (HC) to solve the space allocation problem in a Warehouse, a Car Parking and a Land for Cultivation. Also, a technique that organizes objects randomly in the space was implemented to compare results with the intelligent techniques. Several tests were performed to check the proper system operation and then performance tests under different conditions are shown comparing the results between the intelligent techniques and the random technique. Finally, advantages and disadvantages of intelligent techniques to solve the space allocation problem are presented.