Migration based parallel differential evolution learning in Asymmetric Subsethood Product Fuzzy Neural Inference System :A simulation study

This paper presents a detailed study on the various parameters of an island model based differential evolution learning scheme in asymmetric subsethood product fuzzy neural inference system (ASuPFuNIS). The systematic experimental study of the migration size, migration interval coupled with an in depth view of the diversity on each island leads to a better understanding of the algorithm. In the course of studying the effects of parameters some significant performance changes were observed on a standard benchmark function approximation problem.