A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization

Authors:
Mário Augusto Torres;Rodrigo Magno Silva;Otávio Noura Teixeira;Roberto Limão
Affiliations:
Universidade Federal do Pará, Belém, Brazil;Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil;Universidade Federal do Pará, Belém, Brazil;Universidade Federal do Pará, Belém, Brazil
Venue:
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Year:
2009

Citing 4
Cited 0

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Abstract

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.