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In this paper, we propose a fuzzy system to act as a control mechanism for the evolutionary process of search of a Cultural Algorithm with Evolutionary Programming (CAEP) applied to real-valued function optimization. The fuzzy system uses population knowledge to adjust the Influence Factor that represents the intensity of the influence of the Variation operator of the CAEP model, therefore adjusting the search process. This paper also presents a comparative analysis of the proposed influence function using wellknown benchmarking functions.

A FUZZY-CONTROLLED INFLUENCE FUNCTION FOR THE CULTURAL ALGORITHM WITH EVOLUTIONARY PROGRAMMING APPLIED TO REAL-VALUED FUNCTION OPTIMIZATION - Intelligent Control Systems and Optimization