基于遗传算法的可调控生物节律LED光源合成优化模型探究

Research on the Optimization Model of Adjustable Biological Rhythm LED Light Source Synthesis Based on Genetic Algorithm

摘要: 随着现代生活节奏加快及人工照明广泛使用，紊乱的光照环境日益干扰人体生物钟，引发睡眠障碍等问题。LED光源因光谱灵活可调，为精准调控生物节律提供了新途径。本研究聚焦于多通道LED光源的优化合成，旨在通过数学建模设计满足特定节律需求的光源。具体而言，我们首先基于五个独立LED通道光谱数据，建立了多通道合成光谱模型。针对日间照明与夜间助眠两种场景，分别以最大化保真度指数和最小化褪黑素日光照度比为优化目标，构建了非线性优化模型。通过采用遗传算法进行求解，成功获得了两种模式下各通道的最优权重组合及其对应的关键光学与节律参数。

Abstract: As the pace of modern life accelerates and artificial lighting becomes widely used, disrupted light environments increasingly interfere with the human circadian rhythm, leading to issues such as sleep disorders. LED light sources, due to their flexible and adjustable spectra, offer a new approach for precisely regulating biological rhythms. This study focuses on the optimized synthesis of multi-channel LED light sources, aiming to design light sources that meet specific circadian needs through mathematical modeling. Specifically, we first established a multi-channel synthesized spectral model based on the spectral data of five independent LED channels. For two scenarios—daytime illumination and nighttime sleep aid—we constructed nonlinear optimization models with the objectives of maximizing the fidelity index and minimizing the melanopic daylight efficacy ratio, respectively. By employing a genetic algorithm for optimization, we successfully obtained the optimal weight combinations for each channel under both modes, along with the corresponding key optical and circadian parameters.