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.
Multi-objective Genetic Algorithm for Interior Lighting Design / Plebe, A; Pavone, M. - 10710:(2018), pp. 222-233. ( MOD 2017 Volterra, Italy September 14–17, 2017) [10.1007/978-3-319-72926-8_19].
Multi-objective Genetic Algorithm for Interior Lighting Design
Plebe, A;
2018-01-01
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.| File | Dimensione | Formato | |
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