Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Research of Training Airspace Planning based on Genetic Algorithm

Authors
Jiacheng Ma, Dengkai Yao, Guhao Zhao
Corresponding Author
Jiacheng Ma
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.132How to use a DOI?
Keywords
airspace; genetic algorithm; packing optimization; BL algorithm
Abstract
Airspace planning of tactical training is a centralized planning, which is typical for Air Force tactical training. Because of the complexity of airspace and the diversity of training courses, artificial packing can't guarantee the utilization rate of airspace. Due to the irregularities of airspace, the minimum horizon merit-based insertion algorithm was proposed based on analysis of BL algorithm considering the reasonable utilization of surrounding airspace; On account of airspace limitation, selection operator, crossover operator and fitness function were established based on basic genetic algorithm, and for the purpose of packing optimization, genetic algorithm and improved packing algorithm were combined. The results show that the algorithm can ensure the utilization of airspace. The above method may provide a scientific basis for airspace planning of tactical training in real life.
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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
DOI
https://doi.org/10.2991/ammee-17.2017.132How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiacheng Ma
AU  - Dengkai Yao
AU  - Guhao Zhao
PY  - 2017/06
DA  - 2017/06
TI  - Research of Training Airspace Planning based on Genetic Algorithm
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ammee-17.2017.132
DO  - https://doi.org/10.2991/ammee-17.2017.132
ID  - Ma2017/06
ER  -