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Optimal Illumination of Arbitrary Rooms Using Genetic Algorithm

机译:遗传算法任意房间的最佳照明

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Illuminating rooms is something that is taken as for granted. This paper presents an evolutionary method for solving this problem. The paper aims to find a minimalist arrangement of lamps in user-defined or random rooms such that they are optimally lit. Genetic algorithm is used to explore exponential search space of lamps placement and find those that suit the given criteria. Blender is used as a 3-D tool for this experiment. Results show promising arrangements of lamps that can be used in situations that require an emitter of signals in an obstruction filled environment.
机译:照明房间是理所当然的。本文介绍了解决这个问题的进化方法。纸张旨在在用户定义或随机房间中找到一个极简主义的灯具,使得它们最佳地点亮。遗传算法用于探索灯具放置的指数搜索空间,并找到适合给定标准的指数搜索空间。 Blender用作此实验的三维工具。结果表明,可以在需要在障碍物中填充环境中的信号发射器的情况下使用的灯具的有希望的布置。

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