A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization
Mário Augusto da Costa Torres, Rodrigo Magno Silva, Otávio Noura Teixeira, Oliveira Júnior · 2009
In this paper, we present a Fuzzy Influence Function for the CAEP model (Cultural Algorithms with Evolutionary Programming) proposed by Chung [1] and extended by Zhu [6], applied to real-valued function optimization. The proposal makes use of a Fuzzy Inference System 'FIS' to adjust an Influence Factor that represents the intensity of the influence of the Variation operator of the CAEP model. This paper also presents a comparative analysis of the proposed influence function using a set of 17 of the CEC '05 benchmarking functions.