Abstract
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.
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CITATION STYLE
Plebe, A., & Pavone, M. (2018). Multi-objective genetic algorithm for interior lighting design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10710 LNCS, pp. 222–233). Springer Verlag. https://doi.org/10.1007/978-3-319-72926-8_19
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