DocumentCode
1921305
Title
Road Lighting Installation Design to Optimize Energy Use by Genetic Algorithms
Author
Covitti, A. ; Delvecchio, G. ; Neri, F. ; Ripoli, A. ; Labini, M. Sylos
Author_Institution
Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari
Volume
2
fYear
2005
fDate
21-24 Nov. 2005
Firstpage
1541
Lastpage
1544
Abstract
In this paper the authors suggest a software based on the genetic algorithms to optimize the design of a road lighting installation so as to reduce the use of the energy per year. The method has been applied to a real case
Keywords
genetic algorithms; power engineering computing; street lighting; energy use optimization; genetic algorithm software; road lighting installation design; Algorithm design and analysis; Atmosphere; Computational efficiency; Design optimization; Fluorescent lamps; Genetic algorithms; Manufacturing; Roads; Genetic algorithms; optimization of energy use; road lighting design optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location
Belgrade
Print_ISBN
1-4244-0049-X
Type
conf
DOI
10.1109/EURCON.2005.1630259
Filename
1630259
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