A Co-Evolutionary Fuzzy System for Real-Time Signal Pre-Processing

By their nature, Real-Time applications impose the conflicting goals of providing a fast algorithm and reducing the rate of error as much as possible. The Remote Terminal Units (RTU) has a real-time system to convert the data from the field into pulses/counts at the converter stage and transmits them to the main processor. In this paper we take advantage of the fuzzy logic inference system, as a preprocessor which is optimized by an evolutionary algorithm in a cooperative co-evolutionary manner. The novelty of the proposed method is that our system will be optimized by a co-evolutionary algorithm and the output would then be implemented as a lookup table suitable for real-time processing. Simulations demonstrate the most significant improvement to reduce the time complexity down to O (1) and enhance the precision simultaneously.