loading...
Parallel Evolutionary Asymmetric Subsethood Product Fuzzy-Neural Inference System: An Island Model Approach
Kolkata, India March 05-March 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.100International Conference on Computing ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Lotika Singh, Dayalbagh Educational Institute, Agra
Satish Kumar, Dayalbagh Educational Institute, Agra
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.
Citation:
Lotika Singh, Satish Kumar, "Parallel Evolutionary Asymmetric Subsethood Product Fuzzy-Neural Inference System: An Island Model Approach," iccta, pp.282-286, International Conference on Computing: Theory and Applications (ICCTA'07), 2007
Usage of this product signifies your acceptance of the Terms of Use.