Work place: Jaypee University of Information Technology, Solan, HP, India
E-mail: gunjanmicro@gmail.com
Website:
Research Interests: Computational Engineering, Engineering
Biography
Gunjan Goel is working as Assistant Professor in Jaypee University of Information Technology; He earned his PhD from National Dairy Research Institute followed by postdoctoral training in European universities namely University of Hohenheim, Germany and University of Ghent, Belgium. His area of interest is Microbiology and Genetic Engineering.
By Savita Wadhawan Gunjan Goel Srikant Kaushik
DOI: https://doi.org/10.5815/ijitcs.2013.08.03, Pub. Date: 8 Jul. 2013
The process of fuzzy modeling or fuzzy model identification is an arduous task. This paper presents the application of Memetic algorithms (MAs) for the identification of complete fuzzy model that includes membership function design for input and output variables and rulebase generation from the numerical data set. We have applied the algorithms on four bench mark data: A rapid Ni-Cd battery charger, the Box & Jenkins’s gas-furnace data, the Iris data classification problem and the wine data classification problem. The comparison of obtained results from MAs with Genetic algorithms (GAs) brings out the remarkable efficiency of MAs. The result suggests that for these problems the proposed approach is better than those suggested in the literature.
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