Igor S. Peretta

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Keywords: Computer-automated exterior lighting design Illumination quality Energy efficiency Parallel evolutionary algorithm Multi-objective optimization NSGA-II a b s t r a c t A proper professional lighting design implies in a continuous search for the best compromise between both low power consumption and better lighting quality. This search converts(More)
Parallel computing is a powerful way to reduce computation time and to improve the quality of solutions of evolutionary algorithms (EAs). At first, parallel EAs (PEAs) ran on very expensive and not easily available parallel machines. As multicore processors become ubiquitous, the improved performance available to parallel programs is a great motivation to(More)
— The FTTH (Fiber To The Home) market currently needs new network maintenance technologies that can, economically and effectively, cope with massive fiber plants. However, operating these networks requires adequate means for an effective monitoring cost. Especially for troubleshooting faults that are associated with the possibility of remote identification(More)
This paper proposes a Genetic Algorithm to optimize lightning design parameters integrated with a Computer Aided Design (CAD) application. The algorithm offers a search optimization approach to achieve better design solutions when compared to traditional tools. The proposed CAD tool uses innovative concepts of Information Visualization. Complex 3D(More)
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(More)
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