Title : ( Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm )
Authors: Adel Soheili , Habib Rajabi Mashhadi ,
Full TextAbstract
During the last decade, problems regarding the Traffic Management Advisor(TMA) has become a concerning matter. A novel hybrid Genetic Algorithm(GA) for the goal of seeking best possible alignment has been presented in this paper. This simple and yet very thorough method benefits from low computational burden, higher convergence rate and lower overall delays. Comprehensive simulations and implementation of the imbedded specially designed rearrangement operator, have shown the efectiveness of the proposed method in comparison with previous literatures and classic GA.
Keywords
, Air traffic control, arriving sequences delays, traffic management advisor, genetic algorithm
@article{paperid:1054794,
author = {Soheili, Adel and Rajabi Mashhadi, Habib},
title = {Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm},
journal = {International Journal of Computational Intelligence Systems},
year = {2016},
volume = {9},
number = {3},
month = {April},
issn = {1875-6891},
pages = {559--571},
numpages = {12},
keywords = {Air traffic control; arriving sequences delays; traffic management advisor; genetic algorithm},
}
%0 Journal Article
%T Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
%A Soheili, Adel
%A Rajabi Mashhadi, Habib
%J International Journal of Computational Intelligence Systems
%@ 1875-6891
%D 2016
