Title :
Parallel Evolutionary Asymmetric Subsethood Product Fuzzy-Neural Inference System: An Island Model Approach
Author :
Singh, Lotika ; Kumar, Satish
Author_Institution :
Dept. of Phys. & Comput. Sci., Dayalbagh Educ. Inst., Agra
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
Keywords :
computational complexity; evolutionary computation; fuzzy neural nets; fuzzy reasoning; fuzzy systems; learning (artificial intelligence); parallel algorithms; ASuPFuNIS parallelization strategy; DE learning; asymmetric subsethood product fuzzy-neural inference system; differential evolution learning; island model approach; migration model scheme; parallel evolutionary algorithm; Clustering algorithms; Computer science; Evolutionary computation; Fuzzy neural networks; Fuzzy systems; Master-slave; Message passing; Neural networks; Parallel architectures; Physics;
Conference_Titel :
Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
Conference_Location :
Kolkata
Print_ISBN :
0-7695-2770-1
DOI :
10.1109/ICCTA.2007.100
