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Green public lighting design solved by a remote Genetic Algorithm application

机译:远程遗传算法应用解决的绿色公共照明设计

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Lighting Design is a field of engineering that often misses artificial intelligence tools and computational approaches to help designers. Genetic Algorithm (GA) is a widely used heuristic for search and optimization. This work presents results from applying GA and web services to develop a computer-generated public lighting design remote application. This application is hosted in a cluster computing environment that supports web services. A case study is also presented: the achieved solution shows a superior uniformity of illumination with almost 20% of economy on monthly power consumption when compared to the previous edified one.
机译:照明设计是工程领域,通常会错过人工智能工具和计算方法来帮助设计师。遗传算法(GA)是广泛用于搜索和优化的启发式算法。这项工作提出了应用通用航空和网络服务开发计算机生成的公共照明设计远程应用程序的结果。此应用程序托管在支持Web服务的群集计算环境中。还介绍了一个案例研究:与以前的版本相比,所实现的解决方案显示出卓越的照明均匀性,每月耗电量几乎节省​​了20%的经济性。

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