DocumentCode :
2452304
Title :
Optimization of Luminous Intensity Distribution of Roadway Lighting Luminaire Based on Genetic Algorithm
Author :
Zou, Jiping ; Li, Li
Author_Institution :
Coll. of Archit. & Urban Planning, Tongji Univ. Shanghai, Shanghai, China
Volume :
1
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
327
Lastpage :
330
Abstract :
Uniformity of overall and longitudinal (Uo, UL) are two important items to evaluate roadway lighting quality. The fitness function incorporates two adaptive parameters in order to take both Uo and UL into consideration as multi-objective function for genetic algorithm. Installation geometry is specified to build up direct connection between I-table and r-table to result in an optimal I-table for R3 road surface. It proves that the application of GA to optimize I-table is feasible in this paper.
Keywords :
brightness; genetic algorithms; roads; street lighting; transportation; I-table; R3 road surface; adaptive parameter; fitness function; genetic algorithm; installation geometry; luminous intensity distribution; multiobjective function; r-table; roadway lighting luminaire; Encoding; Gallium; Lighting; Optical design; Optimization; Roads; Roadway Lighting - c136; GA; Luminous Intensity Distribution; optimization; road lighting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.163
Filename :
5708770
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2452304
بازگشت