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Interest in multimodal optimization function is expanding rapidly since real-world optimization problems often require the location of multiple optima in the search space. In this context, a new model based on cultural algorithm and fuzzy clustering procedure is proposed. This model promotes the formation and maintenance of subpopulations and implements the concept of cultural exchanges among them. The validity of this model is confirmed using some well-known test function. Moreover, an electromagnetic benchmark is solved to show the usefulness of the proposed approach in real world optimization.