Volume 9, Issue 3, June 2016, Pages 559 - 571
Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm
Authors
Adel Soheili1, soheiliadel@stu.um.ac.ir, Habib Rajabi Mashhadi1, 2, *, h_mashhadi@um.ac.ir
*Corresponding author
Corresponding Author
Habib Rajabi Mashhadih_mashhadi@um.ac.ir
Received 14 November 2015, Accepted 24 January 2016, Available Online 1 June 2016.
- DOI
- 10.1080/18756891.2016.1175818How to use a DOI?
- Keywords
- Air traffic control; arriving sequences delays; traffic management advisor; genetic algorithm
- Abstract
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.
- Copyright
- © 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Adel Soheili AU - Habib Rajabi Mashhadi PY - 2016 DA - 2016/06/01 TI - Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm JO - International Journal of Computational Intelligence Systems SP - 559 EP - 571 VL - 9 IS - 3 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2016.1175818 DO - 10.1080/18756891.2016.1175818 ID - Soheili2016 ER -