Genetic Algorithms Applied To Computer-Generated Green Public Lightning Design

Abstract

Lighting Design is a field of engineering that misses automatic approaches to help lighting designers. Genetic Algorithms (GA) are a widely used class of algorithm for search and optimization. This work presents the early results from applying GA for computer-generated public lighting design. Some simplifications are done in order to test the extent and efficacy of this methodology. The solution designed by GA, when compared to the edified one, shows a superior uniformity of illumination and a 10% of economy on power consumption.