Improving Reflexive Surfaces Efficiency with Genetic Algorithms
A. Steklain, M. Adames, F. Ganacim
TL;DR
This paper introduces a genetic algorithm approach to optimize reflexive surfaces, significantly enhancing the efficiency of ARAPUCA photodetectors in non-traditional receiver positions.
Contribution
It presents a novel application of genetic algorithms to improve reflexive surface efficiency in photodetectors, addressing non-parabolic antenna configurations.
Findings
Efficiency of ARAPUCA photodetectors improved
Genetic algorithms effectively optimize reflexive surfaces
Potential for enhanced device performance in varied positions
Abstract
We propose using a Genetic Algorithm to improve the efficiency of reflexive surfaces in devices where the receiver's position is different from the classic parabolic antenna. With this technique, we show that we can improve the efficiency of the ARAPUCA photodetector.
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Taxonomy
TopicsOptical Wireless Communication Technologies