Application of multi-objective genetic algorithms to interior lighting optimization-Reference-Cited by-同舟云学术

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Application of multi-objective genetic algorithms to interior lighting optimization

Published:2016-08 Issue: Volume:125 Page:66-74
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Madias Evangelos-Nikolaos D.,Kontaxis Panagiotis A.,Topalis Frangiskos V.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference38 articles.

1. Energy Information Administration, Commercial Buildings Energy Consumption Survey, 2003.

2. Energy Efficiency Status Report 2012, Electricity Consumption and Efficiency Trends in the EU-27;Bertoldi,2012

3. A comparative life cycle assessment of luminaires for general lighting for the office e compact fluorescent (CFL) vs Light Emitting Diode (LED)—a case study;Principi;J. Clean. Prod.,2014

4. Predicting long-term lumen maintenance life of LED light sources using a particle filter-based prognostic approach;Fan;Expert Syst. Appl.,2015

5. Increasing the reliability of solid state lighting systems via self-healing approaches: a review;Lafont;Microelectron. Reliab.,2012

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