Multi-objective Genetic Algorithm for Interior Lighting Design

  • Alice PlebeEmail author
  • Mario Pavone
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10710)


This paper proposes a novel system to help in the design of interior lighting. It is based on multi-objective optimization of the key criteria involved in lighting design: the respect of a given target level of illuminance, uniformity of lighting, and electrical energy saving. The proposed solution integrates the 3D graphic software Blender, used to reproduce the architectural space and to simulate the effect of illumination, and the genetic algorithm NSGA-II. This solution offers advantages in design flexibility over previous related works.


Lighting design Genetic algorithm Blender 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Mathematics and Computer ScienceUniversity of CataniaCataniaItaly

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