Genetic ANFIS for scheduling in telecommunication networks

Ryszard S. Romaniuk, Olena O. Semenova, Oleg V. Bisikalo, Павло Ігорович Кулаков, Rami R. Hamdi, Baituma Bissarinov, Andriy Semenov

2018

Closed access Metadata (CSL-JSON)

DOI 10.1117/12.2501503

Data confidence 85 high

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Abstract

The paper proposes using a fuzzy controller in telecommunication networks for improving the scheduling process. A structure of the fuzzy controller was developed. Linguistic variables, terms and membership functions for input and output values were defined. A rules base was developed. An Adaptive Neuro-fuzzy Inference System (ANFIS) on the base of the fuzzy-controller was developed. A genetic algorithm to improve the rule base was proposed. The operation of ANFIS was simulated and trained.