Title :
Green public lighting design solved by a remote Genetic Algorithm application
Author :
Rocha, H.X. ; Peretta, I.S. ; Lima, G.F.M. ; Marques, L.G. ; Yamanaka, Keiji
Author_Institution :
Fed. Inst. of Goias (IFG), Itumbiara, Brazil
Abstract :
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.
Keywords :
Web services; artificial intelligence; environmental factors; genetic algorithms; street lighting; workstation clusters; Web services; artificial intelligence tools; cluster computing environment; computer-generated public lighting design; remote genetic algorithm application; Computers; Genetic algorithms; Java; Lighting; Standards; Vectors; Web services;
Conference_Titel :
Industry Applications (INDUSCON), 2012 10th IEEE/IAS International Conference on
Conference_Location :
Fortaleza
Print_ISBN :
978-1-4673-2412-0
DOI :
10.1109/INDUSCON.2012.6453113