A Neuro-Genetic Hybrid Algorithm Utilizing Outdoors LOS Optical Wireless Channels

An Artificial Neural Network (ANN) in the domain of optical wireless communication is presented. The network makes use of a genetic algorithm-based selection and different weather models. The objectives target an attempt to exploit the power of hybrid intelligent systems in the outdoor optical wireless channel and a prediction of a reliable adaptation technique that contributes to the best possible bit-error-rate (BER) under certain weather conditions and link characteristics. The reason of using a GA in this type of selection is that the problem has been coded with a binary search, and took more than 3 hours to evaluate the parameter selection, while the GA approach, under several channel characteristics, achieved the process in tens of seconds.