Design a Real-Time Preprocessing Algorithm Based on a Co-evolutionary Fuzzy System

Real-time world problems need fast algorithm with minimum error. The remote terminal supervisor agent (RTSA), have 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 preprocessor which is optimized by evolutionary algorithm in a cooperative co-evolutionary strategy. The novelty of our proposed method is that our system will be optimized by co-evolutionary algorithms and the output would be then implemented as a lookup table to be suitable for real-time processing. Simulations demonstrate the most significant improvement to reduce the average time complexity down to O(1) and enhance the precision simultaneously.