Space allocation using intelligent optimization techniques

E. García, G. M. C. Quintero
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引用次数: 4

Abstract

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.
使用智能优化技术的空间分配
空间分配问题在各个领域都扮演着重要的角色。例如,在仓库中放置物品时,必须充分利用可用空间并满足生产要求。同样,在一个停车场中,汽车的车位分配也存在着汽车没有合理分布的情况。同样,作物在耕地中的空间分配也需要考虑湿度、ph等因素和特征。本文提出了一种基于遗传算法(GA)和爬坡算法(HC)的智能对象管理器,用于解决仓库、停车场和耕地的空间分配问题。此外,还实现了一种在空间中随机组织对象的技术,以便与智能技术的结果进行比较。通过多次试验验证了系统的正常运行,并对智能技术和随机技术在不同条件下的性能测试结果进行了比较。最后,分析了智能技术解决空间分配问题的优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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