Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm

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 computation...

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Bibliographic Details
Main Authors:	Adel Soheili, Habib Rajabi Mashhadi
Format:	Article
Language:	English
Published:	Atlantis Press 2016-06-01
Series:	International Journal of Computational Intelligence Systems
Subjects:	Air traffic control arriving sequences delays traffic management advisor genetic algorithm
Online Access:	https://www.atlantis-press.com/article/25868711/view

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spelling	doaj-e21610e7c8414a7689dc9cb2db04bfb62020-11-25T01:38:05ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832016-06-019310.1080/18756891.2016.1175818Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic AlgorithmAdel SoheiliHabib Rajabi MashhadiDuring 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 effectiveness of the proposed method in comparison with previous literatures and classic GA.https://www.atlantis-press.com/article/25868711/viewAir traffic controlarriving sequences delaystraffic management advisorgenetic algorithm
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Adel Soheili Habib Rajabi Mashhadi
spellingShingle	Adel Soheili Habib Rajabi Mashhadi Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm International Journal of Computational Intelligence Systems Air traffic control arriving sequences delays traffic management advisor genetic algorithm
author_facet	Adel Soheili Habib Rajabi Mashhadi
author_sort	Adel Soheili
title	Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
title_short	Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
title_full	Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
title_fullStr	Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
title_full_unstemmed	Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
title_sort	improvement of the aircraft traffic management advisor optimization using a hybrid genetic algorithm
publisher	Atlantis Press
series	International Journal of Computational Intelligence Systems
issn	1875-6883
publishDate	2016-06-01
description	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 effectiveness of the proposed method in comparison with previous literatures and classic GA.
topic	Air traffic control arriving sequences delays traffic management advisor genetic algorithm
url	https://www.atlantis-press.com/article/25868711/view
work_keys_str_mv	AT adelsoheili improvementoftheaircrafttrafficmanagementadvisoroptimizationusingahybridgeneticalgorithm AT habibrajabimashhadi improvementoftheaircrafttrafficmanagementadvisoroptimizationusingahybridgeneticalgorithm
_version_	1725055248991518720

Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm

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