Improving FSM evolution with progressive fitness functions
Jason W. Horihan, Yung-Hsiang Lu · 2004
This paper presents a method to reduce the total number of generations needed to evolve a nite state machine using genetic inferencing. Genetic inferencing is an evolution method that creates designs from their input-output relationship. We reduce the time required to evolve a design by only evolving a small partition of the input-output relationship. We construct the complete design by repeatedly evolving different input-output relationship partitions. Genetically inferring a design with our method can reduce evolution time by more than 80%.