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This paper presents the analysis of different population based algorithms for the rulebase generation from numerical data sets. As fuzzy rulebase generation is one of the key issues in fuzzy modeling. The algorithms are applied on a rapid Ni–Cd battery charger data set. In this paper, we compare the efficiency of different algorithms and conclude that SCA algorithms with local search give remarkable efficiency as compared to SCA algorithms alone. Also found that the efficiency of SCA with local search is comparable to memetic algorithms.