孙耀杰,刘木清,韩磊,周晓丽,周德成
Sun Yaojie,Liu Muqing,Han Lei,Zhou Xiaoli and Zhou DechengDepartment of Sources and Illuminating Engineering Fudan University, Shanghai 200433, China

• 1:上海复旦大学电光源研究所
• 2:上海复旦大学电光源研究所
• 3:上海复旦大学电光源研究所
• 4:上海复旦大学电光源研究所

摘要(Abstract)：

本文讨论了一种智能型照明控制器的优化设计方法,应用决定照明控制的主要因素,给出控制器的理想模型,并提出应用遗传算法的求解方法。
This paper discusses a novel method for optimum Intelligent lighting controls utilizing chance constrained programming. It first develops detailed factors that determine the illumination. The chance constrained ideal model of intelligent lighting deals with key factors in all of evaluation expressed by means of probability. Genetic algorithm is used to solve the problem.

关键词(KeyWords)： 智能照明控制;随机模拟;遗传算法
intelligent lighting control, stochastic simulation, genetic algorithm

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 孙耀杰,刘木清,韩磊,周晓丽,周德成
Sun Yaojie,Liu Muqing,Han Lei,Zhou Xiaoli and Zhou DechengDepartment of Sources and Illuminating Engineering Fudan University, Shanghai 200433, China

参考文献(References)：

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• [2]　LiuBaoding,ZhaoRuiqing:Stochastic programmingandfuzzyprogramming[M].Tsinghua UniversityPress,1998.
• [3]　Iwamurak,LiuB.A:Ageneticalgorithmfor chanceconstrainedprogramming.Journalof InformationokOptimizationSciences,1996Vol17(2).PP:4047.
• [4]　WangLing:IntelligentOptimizationAlgorithms WithApplications[M].TsinghuaUniversityPress,2001