Green public lighting design solved by a remote Genetic Algorithm application

Abstract

Lighting Design is a field of engineering that often misses artificial intelligence tools and computational approaches to help designers. Genetic Algorithm (GA) is a widely used heuristic for search and optimization. This work presents results from applying GA and Web services to develop a computer-generated public lighting design remote application. This application is hosted in a cluster computing environment that supports Web services. A case study is also presented: the achieved solution shows a superior uniformity of illumination with almost 20% of economy on monthly power consumption when compared to the previous edified one.