Road lighting installation design to optimize energy use by genetic algorithms

A Covitti; G Delvecchio; F Neri; A Ripoli; M S Labini; IEEE

doi:10.1109/EURCON.2005.1630259

Back

Conference proceeding

Road lighting installation design to optimize energy use by genetic algorithms

A Covitti, G Delvecchio, F Neri, A Ripoli, M S Labini and IEEE

EUROCON 2005: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOL 1 AND 2 , PROCEEDINGS, Vol.2, pp.1541-1544

01/01/2005

DOI: https://doi.org/10.1109/EURCON.2005.1630259

Abstract

Computer Science

Computer Science, Hardware & Architecture

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

Computer Science, Software Engineering

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

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.

Metrics

13 Record Views

3 Times Cited - Web of Science

Details

Title: Road lighting installation design to optimize energy use by genetic algorithms
Creators: A Covitti - Polytechnic University of Bari
G Delvecchio - GTx
F Neri - Leavitt Partners
A Ripoli
M S Labini
IEEE
Publication Details: EUROCON 2005: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOL 1 AND 2 , PROCEEDINGS, Vol.2, pp.1541-1544
Publisher: IEEE
Number of pages: 4
Date published: 01/01/2005
Identifiers: 99783012402346
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Conference proceeding

Road lighting installation design to optimize energy use by genetic algorithms

Abstract

Metrics

Details

Usage Policy