Vol. 39, No. 2 (2016) (37)

Multi-Objective Intelligent Optimization of Arrival and Approach Procedure Design

F. R. Sun, S. C. Han, G. Qian, Z. Y. Shen, & F. Adelstein

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China,‡Department of Operation Control, China Eastern Airlines Jiangsu Co., Ltd, Nanjing, 211113, China
§Ind. Eng. Dept., Northern Border Univ., Arar, Saudi Arabia

Cite this paper
F. R. Sun, S. C. Han, G. Qian, Z. Y. Shen, & F. Adelstein, “Multi-Objective Intelligent Optimization of Arrival and Approach Procedure Design”, Journal of Mechanical Engineering Research and Developments, vol. 39, no. 2, pp. 574-583, 2016.  DOI: 10.7508/jmerd.2016.02.037

ABSTRACT: With the sustained growth of air traffic flow, aviation noise problems of arrival aircraft are growing more and more severely. It puts forward higher requirements to optimize the trajectory of arrival and approach segment. The technique of Performance Based Navigation makes flexible flight procedure design possible, also safety, noise effect, efficiency, simplicity of flight procedure should be taken into consideration when designing flight procedure. In this paper, multi-objective optimization model of arrival and approach procedure design is established which selects safety and noise constraints as the limits, efficiency and simplicity as the optimization targets, then improved ant colony algorithm is designed to solve the problem. Finally, taking Lanzhou terminal airspace as design background, the arrival and approach procedures are designed. Analysis verifies the feasibility and validity of the optimization model and solution algorithm.

Keywords : Noise abatement; Multi-objective optimization; Pareto ant colony algorithm; Flight procedure design.

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