Optimization lighting layout based on gene density improved genetic algorithm for indoor visible light communications

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• 作者：Huanlin Liu ; ^{liuhl@cqupt.edu.cn} ; Xin Wang ; Yong Chen ; Deqian Kong ; Peijie Xia
• 关键词：Visible light communications ; Genetic algorithm ; Power uniformity ; Layout optimization
• 刊名：Optics Communications
• 出版年：2017
• 出版时间：1 May 2017
• 年：2017
• 卷：390
• 期：Complete
• 页码：76-81
• 全文大小：861 K
• 卷排序：390

文摘

A gene density genetic algorithm (GDGA) is proposed to optimize the LED layout. Gene density-based segmented crossover and gene mutation strategy is put forward. A weighted differences function is designed to select the right LED lamps' layout. Two stopping criterias, iterations and unchanged iteration of best individual, are set.