Use of Genetic Algorithm for Spatial Layout of Indoor Light Sources

Pedro Henrique Gouvea Coelho, J. F. M. do Amaral, K. P. Guimarães

Abstract

People spend many hours inside buildings that are naturally and artificially illuminated. Since mankind has been able to tame the fire and use it to illuminate, the natural condition of nighttime darkness has been modified. With the advent of electric lighting this has been intensified. The problem of indoor lighting presents several options according to the specific purpose of the lighting. There is room for some heuristic choices and genetic algorithms have been chosen as a computational intelligence technique that allows multi-objective solutions and the inclusion of heuristics and versatility in specific situations that occur in many particular applications. In this way, the main objective of this article is to optimize the number of light sources in indoor environments with the aid of genetic algorithms to obtain a suitable light intensity with the smallest number of light sources. One of the paramount reasons for using such algorithm is that it returns an acceptable solution to an optimization problem with infinite possibilities in a finite number of trials. A case study is presented in which the applicability of genetic algorithms to the problem is discussed, and the results indicate the viability of the method.

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Paper Citation


in Harvard Style

Gouvea Coelho P., Amaral J. and Guimarães K. (2018). Use of Genetic Algorithm for Spatial Layout of Indoor Light Sources.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 456-460. DOI: 10.5220/0006777304560460


in Bibtex Style

@conference{iceis18,
author={Pedro Henrique Gouvea Coelho and J. F. M. do Amaral and K. P. Guimarães},
title={Use of Genetic Algorithm for Spatial Layout of Indoor Light Sources},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={456-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006777304560460},
isbn={978-989-758-298-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Use of Genetic Algorithm for Spatial Layout of Indoor Light Sources
SN - 978-989-758-298-1
AU - Gouvea Coelho P.
AU - Amaral J.
AU - Guimarães K.
PY - 2018
SP - 456
EP - 460
DO - 10.5220/0006777304560460