Evolutionary multi-objective optimization for evolving hierarchical fuzzy system

In this paper, a Multi-Objective Extended Genetic Programming (MOEGP) algorithm is developed to evolve the structure of the Hierarchical Flexible Beta Fuzzy System (HFBFS). The proposed algorithm allows finding the best representation of the hierarchical fuzzy system while trying to attain the desir...

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Vydané v:	IEEE transactions on evolutionary computation s. 3163 - 3170
Hlavní autori:	Jarraya, Yosra, Bouaziz, Souhir, Alimi, Adel M., Abraham, Ajith
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2015
Predmet:	Accuracy Classification algorithms classification problems feature selection Fuzzy systems Genetic programming Hierarchical Flexible Beta Fuzzy System hybrid Bacterial Foraging Optimization Algorithm Multi-Objective Extended Genetic Programming algorithm Optimization Sociology Statistics
ISSN:	1089-778X
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