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Distributed populations in Genetic Algorithms can make the search more smart, in that local minima may be skipped. However, when the global population is divided into small sub-populations, the ability of these sub-populations to evolve is set back because of their relatively small sizes. In this paper, a new method to manage the distributed populations in(More)
We present a new novel method of automatically generating a multi-variable fuzzy inference system from given sample sets. We rst decompose the sample set, say , into a cluster of sample sets associated with the given input variables, then compute the associated fuzzy rules and membership functions for each variable, independent of the other variables, by(More)
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