基于遗传算法的任意房间最优照明

Aiman Khan, Syed Sami Murtaza, S. S. Raza
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引用次数: 0

摘要

照亮房间被认为是理所当然的事情。本文提出了一种求解这一问题的进化方法。本文的目的是在用户定义的或随机的房间中找到一种最简的灯的排列方式,使它们达到最佳照明。遗传算法用于探索灯放置的指数搜索空间,并找到那些适合给定标准的灯。在这个实验中,Blender被用作3d工具。结果表明,这种灯的排列方式很有前途,可以用于在充满障碍物的环境中需要信号发射器的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Illumination of Arbitrary Rooms Using Genetic Algorithm
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.
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