References
- ANSI. 2013. Energy Standard for buildings except low-rise residential buildings. Washington DC: American National Standards Institute.
- Bandyopadhyay S, Saha S. 2013. Unsupervised classification. Springer. 29 p. Berlin (Germany): Springer-Verlag.
- Bellia L, Bisegna F, Spada G. 2011. Lighting in indoor environments: visual and non-visual effects of light sources with different spectral power distributions. Build Environ. 46:1984–1992.
- BIS SP 72. 2010. National Lighting Code. New Delhi (India): Bureau of Indian Standards.
- Boyce PR. 2010. Review: the impact of light in buildings on human health. Indoor Built Environ. 19:8–20.
- Branke J, Deb K, Miettinen K, Slowinski R. 2008. Multiobjective Optimization: interactive and Evolutionary Approaches. 1st ed. Berlin (Germany): Springer. p. 67–68.
- Cassol F, Schneider PS, Franca FHR, Neto AJS. 2011. Multi-objective optimization as a new approach to illumination design of interior spaces. Build Environ. 46:331–338.
- CIE 117. 1995. Discomfort Glare in Interior Lighting. Vienna (Austria): CIE.
- CIE S 008/E:2001[ISO 8995:2002(E)]. 2002. Lighting of indoor work places CIE standard. 2nd ed. Vienna (Austria): CIE.
- Coaton JR, Marsden AM. 1997. Lamps and Lighting. 4th ed. Sydney (Australia): Arnold. p. 301–317.
- Corcione M, Fontana L. 2003. Optimal design of outdoor lighting systems by genetic algorithms. Lighting Res Technol. 35:261–280.
- De Boer JB, Fischer D. 1981. Interior Lighting. 2nd ed. (revised) ed. Deventer (The Netherlands): PhilipsTechnical Library. p. 165–167, 252.
- Delgarm N, Sajadi B, Delgarm S. 2016a. Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC). Energ Buildings. 131:42–53.
- Delgarm N, Sajadi B, Kowsary F, Delgarm S. 2016b. Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO). Appl Energy. 170:293–303.
- DIAL GmbH. 2015. DIALux V4.12. Germany: DIAL GmbH.
- ECBC. 2009. Energy conservation building code. New Delhi (India): Bureau of Energy Efficiency.
- EN 12464-1. 2011. Lighting of Indoor work places. London (UK): British Standards Institution.
- Feng X, Murray AT. 2018. Spatial analytics for enhancing street light coverage of public spaces. Leukos. 14:13–23.
- Fisekis K, Davies M, Kolokotroni M, Langford P. 2003. Prediction of discomfort glare from windows. Lighting Res Technol. 35:360–371.
- Harmathy N, Magyar Z, Folic R. 2016. Multi-criterion optimization of building envelope in the function of indoor illumination quality towards overall energy performance improvement. Energy. 114:302–317.
- Kennedy J, Eberhart RC 1995. Particle swarm optimization.Proc IEEE Conf. Neural Networks IV; Piscataway, New Jersey. p. 1942–1948.
- Madias END, Kontaxis PA, Topalis FV. 2016. Application of multi-objective genetic algorithms to interior lighting optimization. Energ Buildings. 125:66–74.
- Mattoni B, Gori P, Bisegna F. 2017. A step towards the optimization of the indoor luminous environment by genetic algorithms. Indoor Built Environ. 26:590–607.
- Mendes LA, Freire RZ, Coelho LS, Moraes AS. 2017. Minimizing computational cost and energy demand of building lighting systems: A real time experiment using a modified competition over resources algorithm. Energ Buildings. 139:108–123.
- Nath D, Mazumdar S, Chandra JK, Bag AK. 2016. A rough set-based method for aiming angle tuning of luminaires for outdoor sports lighting. Lighting Res Technol. 482:126–54.
- Philips. 1986. Lighting manual. 4th ed. Eindhoven (The Netherlands): N. V. Philips Gloeilam Penfabrieken.
- Rao S. 2009. Engineering Optimization. 4th ed. Mahwah (NJ): John Wiley & Sons. p. 314–315.
- Sędziwy A. 2016. A new approach to street lighting design. Leukos. 12:151–162.
- Tregenza PR, Waters IM. 1983. Daylight coefficients. Lighting Res Technol. 15:65–71.
- The Mathworks, Inc. 2013. MATLAB R2016a. The MathWorks, Inc. https://in.mathworks.com/help/pdf_doc/gads/gads_tb.pdf
- Van Bommel WJM, van der Beld JG. 2004. Lighting for work: a review of visual and biological effects. Lighting Res Technol. 36:255–269.
- Villa C, Labayrade R. 2013. Multi-objective optimisation of lighting installations taking into account user preferences – a pilot study. Lighting Res Technol. 45:176–196.