A Methodology for Optimization of Visual Comfort of Multi-User Intelligent Systems Based on Genetic Algorithms

  • Wendoly J. Gpe. Romero-RodríguezEmail author
  • R. Baltazar
  • Juan Martín Carpio Valadez
  • Héctor Puga
  • J. F. Mosiño
  • V. Zamudio
Part of the Studies in Computational Intelligence book series (SCI, volume 749)


Lighting Standard in work spaces establish a range between a minimal and a maximum level of luminance depending of the task to provide visual comfort. In the state of the art, researches had been focusing to offer the adequate level of luminance just to a single user through the control of the artificial lighting systems using intelligent algorithms, without taking in account of daylight sources that can reduce energy costs. Nevertheless, an intelligent system has more than one user and a shared lighting system, there may be conflicts between users and their different activities, preferences, profiles and priorities, therefore a new approach is required. In this work, a novel methodology based on Genetic Algorithms is proposed, focusing on lights and blinds management of a multi-user scenario and it is presented. It is concentrated to find optimal configurations in energy savings, visual comfort, and conflict resolution between users based on Genetic Algorithms. Finally, the results of our proposal methodology are showed and discussed.


Visual comfort Lighting systems Energy management Ambient intelligence GA Multi-user Conflict resolution 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Wendoly J. Gpe. Romero-Rodríguez
    • 1
    Email author
  • R. Baltazar
    • 1
  • Juan Martín Carpio Valadez
    • 1
  • Héctor Puga
    • 1
  • J. F. Mosiño
    • 1
  • V. Zamudio
    • 1
  1. 1.Tecnológico Nacional de MéxicoInstituto Tecnológico de LeónLeónMexico

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