Parallel Evolutionary Asymmetric Subsethood Product Fuzzy-Neural Inference System: An Island Model Approach

Abstract

This paper introduces an island model approach for differential evolution (DE) learning in asymmetric subsethood product fuzzy neural inference system (ASuPFuNIS). In the island model, each island executes an independent DE and maintains its own sub-population for search. The migration model scheme has been implemented here to parallelize ASuPFuNIS. The parallelization strategy presented here is compared with the master-slave approach