ABSTRACT This article presents a differential evolution (DE) algorithm that can be used to plan public lighting for streets, roadways, and freeways and maximize the energy efficiency of the installation. The algorithm was applied to a model based on new relationships between the energy efficiency of street lighting systems and geometric parameters such as street width, luminaire height, and distance between poles. These relationships were derived from the regression analysis of a large sample of outputs. The results of this algorithm consisted of the luminaire arrangement (one-sided, two-sided staggered, and two-sided coupled), luminaire height, luminaire type, and pole spacing for the most energy-efficient installation. The input of the algorithm was the lighting class or illuminance level, street width, as well as various other luminaire parameters. When these results were compared with those of DIALux, the performance of this new method was found to be extremely satisfactory. Furthermore, the constraints applied guaranteed compliance with the recommendations of the International Commission on Illumination.

中文翻译：

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差分进化算法在公共照明装置设计中的应用，最大限度地提高能源效率

摘要 本文提出了一种差分进化 (DE) 算法，该算法可用于规划街道、道路和高速公路的公共照明，并最大限度地提高设施的能源效率。该算法应用于基于街道照明系统能效与几何参数（如街道宽度、灯具高度和灯杆之间的距离）之间的新关系的模型。这些关系源自对大量产出样本的回归分析。该算法的结果包括最节能安装的灯具布置（一侧、两侧交错和两侧耦合）、灯具高度、灯具类型和灯杆间距。算法的输入是照明等级或照度水平、街道宽度、以及其他各种灯具参数。当将这些结果与 DIALux 的结果进行比较时，发现这种新方法的性能非常令人满意。此外，所应用的约束保证符合国际照明委员会的建议。