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. (Intervento presentato al convegno 3rd International Conference on Machine Learning, Optimization, and Big Data, MOD 2017 tenutosi a Volterra nel September 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
