2013
DOI: 10.1016/j.eswa.2012.10.026
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A new methodology for calculating roadway lighting design based on a multi-objective evolutionary algorithm

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Cited by 46 publications
(23 citation statements)
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“…Previous work Gómez-Lorente et al 2013;Rabaza et al 2013) demonstrated that multi-objective evolutionary algorithms (MOEAs) provide a quick and reliable method to obtain the optimized parameters of a lighting installation in terms of illuminance uniformity, U 0 , and efficiency, ε. MOEAs are evolutionary algorithms that are able to solve problems with more than one target, as occurs in road lighting. Such studies showed that there is *Corresponding author.…”
Section: Introductionmentioning
confidence: 98%
“…Previous work Gómez-Lorente et al 2013;Rabaza et al 2013) demonstrated that multi-objective evolutionary algorithms (MOEAs) provide a quick and reliable method to obtain the optimized parameters of a lighting installation in terms of illuminance uniformity, U 0 , and efficiency, ε. MOEAs are evolutionary algorithms that are able to solve problems with more than one target, as occurs in road lighting. Such studies showed that there is *Corresponding author.…”
Section: Introductionmentioning
confidence: 98%
“…The main strength of this software is the complete database about lighting products of the main manufacturers, giving more accuracy to the analysis. It also provides information about power consumption of elements to guarantee compliance with the regulations [18].…”
Section: Light Evaluation Softwarementioning
confidence: 99%
“…In the present work we offer an alternative method to others [2,3] that can find the optimum distribution of the luminaire to minimize energy consumption and therefore to minimize the use of infrastructure in photovoltaic systems.…”
Section: Introductionmentioning
confidence: 99%