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Air traffic flow regulating and control method based on improved local search strategy

An air traffic and local search technology, applied in traffic control systems, aircraft traffic control, instruments, etc., can solve the problems of easily falling into local optimum and limited search ability, and achieve the effect of improving diversity and strengthening search ability.

Active Publication Date: 2014-01-01
成都福瑞空天科技有限公司
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AI Technical Summary

Problems solved by technology

The traditional genetic algorithm has shown certain advantages in solving multi-objective combinatorial optimization problems, but its search ability is limited when dealing with large-scale multi-objective combinatorial optimization problems, and it is easy to fall into local optimum.

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  • Air traffic flow regulating and control method based on improved local search strategy
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  • Air traffic flow regulating and control method based on improved local search strategy

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Embodiment Construction

[0028] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0029] First introduce the following concepts and definitions:

[0030] 1. Air route: an air passage with a certain width uniformly delineated by the state. There are relatively complete communication and navigation equipment, and the width is usually 20KM. The purpose of delineating air routes is to maintain air traffic order, improve space utilization, and ensure flight safety.

[0031] 2. Airline: The flight route of the aircraft is called the air traffic line, or air route for short. The flight route of the aircraft not only determines the specific flight direction, starting and ending points, and stopping points of the aircraft, but also stipulates the width and flight altitude of the flight route according to the needs of air traffic control, so as to maintain the order of air traffic and ensure flight safety.

[0032] 3. Airspace: Airspace i...

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Abstract

The invention discloses an air traffic flow regulating and control method based on an improved local search strategy. The method comprises the steps of according to the large-scale characteristics of the air traffic flow and collaborative evolutionary ideas, firstly dividing the big problem into a plurality of small problems, finally completing evolution on the big problem by evolving each small problem, adopting a dynamic grouping strategy in the problem grouping process, enabling the problems with the strong relevance to be assigned to the same group, in the evolution problem of each sub problem, adopting a differential evolution method, introducing a concentration regulation mechanism, improving the diversity of a non-dominated solution, and in order to increase the search capability of the solution space, introducing the local search strategy. According to the large-scale characteristics of the problems, the traditional local search strategy is improved, and as the experimental evidence shows, the solution better than the traditional method can be found.

Description

technical field [0001] The invention proposes a new local search strategy, which can deal with multi-objective large-scale combined optimization problems, and is an air traffic flow control method based on the improved local search strategy. Background technique [0002] In recent years, my country's civil aviation transportation industry has achieved rapid development. With the increasing number of aircraft in the air, the problem of airspace congestion has become increasingly serious, which not only reduces the safety of flight, but also brings huge economic losses to civil aviation. Air traffic flow management is the most effective and economical means to solve air traffic congestion. By changing the take-off time and flight path of aircraft to achieve the purpose of flow regulation, thereby reducing air traffic congestion and improving the utilization rate of airspace. [0003] The early air traffic flow regulation method mainly takes measures for local areas, especially...

Claims

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Application Information

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IPC IPC(8): G08G5/00
Inventor 张学军管祥民雷佳兴
Owner 成都福瑞空天科技有限公司
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