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Metadomotic optimization using genetic algorithms

Author

Listed:
  • Merino, S.
  • Martínez, J.
  • Guzmán, F.

Abstract

New technologies applied in domotic allow us to extract plenty of data about the usual behavior of occupants in any installation. Discipline that works with these data for the pursuit of new knowledge is called Metadomotic.

Suggested Citation

  • Merino, S. & Martínez, J. & Guzmán, F., 2015. "Metadomotic optimization using genetic algorithms," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 170-178.
    • Handle: RePEc:eee:apmaco:v:267:y:2015:i:c:p:170-178
    DOI: 10.1016/j.amc.2015.04.029
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    Cited by:

    1. Salvador Merino & Javier Martinez & Francisco Guzman & Juan de Dios Lara & Rafael Guzman & Francisco Sanchez & Juan Ramon Heredia & Mariano Sidrach de Cardona, 2023. "Dynamic Reconfiguration to Optimize Energy Production on Moving Photovoltaic Panels," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    2. Merino, S. & Martínez, J. & Guzmán, F. & Sánchez, F.J. & Guzmán, R. & Sidrach de Cardona, M. & Lara, J.D., 2023. "Scalable method for administration of resource technologies under stochastic procedures," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    3. Merino, S. & Sánchez, F.J. & Sidrach de Cardona, M. & Guzmán, F. & Guzmán, R. & Martínez, J. & Sotorrío, P.J., 2018. "Optimization of energy distribution in solar panel array configurations by graphs and Minkowski’s paths," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 48-58.

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