Fitness-based exponential probabilities for genetic algorithms applied to adaptive IIR filtering

This research evaluates a new genetic algorithm for searching multimodal error surfaces. This new technique allows the genetic algorithm to search locally with chromosomes that perform relatively well, while searching globally with the other chromosomes, as opposed to using fixed rates for local and global searches. When only the best solution is important, as in adaptive IIR filtering, the fitness-based exponential genetic algorithm is shown to, on average, outperform the fixed-rate genetic algorithm as well as the fitness-based linear genetic algorithm.