A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines

Autor: Yu Yue, Ge Qingyu, Jiao Chongqing
Jazyk: English<br />French
Rok vydání: 2020
Předmět:
Zdroj: E3S Web of Conferences, Vol 185, p 01044 (2020)
Druh dokumentu: article
ISSN: 2267-1242
20201850
DOI: 10.1051/e3sconf/202018501044
Popis: A hybrid genetic algorithm and vector fitting based approach is proposed for the approximation of the propagation function of transmission lines. In this work, the process of guessing the number of poles and then adjusting corresponding delay times in the conventional method is improved by the genetic algorithm. The proposed approach can result in a better approximation of propagation function, which is proven by a successful implementation to an overhead single core coaxial cable.
Databáze: Directory of Open Access Journals