Road lighting installation design to optimize energy use by genetic algorithms

被引：0
|
作者：
Covitti, A [1 ]
Delvecchio, G [1 ]
Neri, F [1 ]
Ripoli, A [1 ]
Labini, MS [1 ]
机构：
[1] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy
来源：
EUROCON 2005: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOL 1 AND 2 , PROCEEDINGS | 2005年
关键词：
genetic algorithms; optimization of energy use; road lighting design optimization;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1541 / 1544
页数：4
相关论文
共 50 条
  • [1] GUIDE TO DESIGN, INSTALLATION AND MAINTENANCE OF ROAD LIGHTING
    不详
    HIGHWAY ENGINEER, 1976, 23 (04): : R1 - &
  • [2] Road lighting design by means of genetic algorithm
    Bayer, Rudolf
    Brejcha, Michal
    Pelanova, Zuzana
    Zalesak, Jan
    PROCEEDINGS OF THE 2015 16TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2015, : 385 - 390
  • [3] LIGHTING INSTALLATION DESIGN
    HAWLEY, WG
    ELECTRICAL REVIEW, 1971, 189 (07): : 235 - &
  • [4] Genetic algorithms to optimize energy supply systems
    Córdoba, A
    González-Monroy, LI
    COMPUTER PHYSICS COMMUNICATIONS, 1999, 121 : 43 - 45
  • [5] Genetic algorithms to optimize energy supply systems
    Córdoba, A.
    Gonzalez-Monroy, L.I.
    Computer Physics Communications, 1999, 121 : 43 - 45
  • [6] Audit of road lighting installation as a tool to improve energy intensity - case study
    Poplawski, Tomasz
    Kurkowski, Marek
    PRZEGLAD ELEKTROTECHNICZNY, 2023, 99 (11): : 241 - 244
  • [7] Elevator installation design by genetic algorithms for large buildings
    Nippon Kikai Gakkai Ronbunshu C Hen, 601 (3413-3419):
  • [8] Optimal design of plant lighting system by genetic algorithms
    Ferentinos, KP
    Albright, LD
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2005, 18 (04) : 473 - 484
  • [9] Use of genetic algorithms in the design of semiconductor superlattice energy filters
    Santos, DJ
    Gómez-Alcalá, R
    Prol, M
    PROCEEDING OF THE TENTH INTERNATIONAL WORKSHOP ON THE PHYSICS OF SEMICONDUCTOR DEVICES, VOLS I AND II, 2000, 3975 : 1431 - 1434
  • [10] Use of genetic algorithms to optimize fiber optic probe design for the extraction of tissue optical properties
    Palmer, Gregory M.
    Ramanujam, Nirmala
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (08) : 1533 - 1535
12345