Aviation Conflict Mediation Model Based on Dynamic Particle Swarm Algorithm
With the increasing demand of air transportation, various types of aircrafts and transport planes often need to be deployed at the same time and space, which leads to the contradiction between the surge of air demand and the limited airspace resources. This paper relies on the improved dynamic parti...
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| Vydáno v: | 2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM) s. 750 - 752 |
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IEEE
25.11.2023
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| Abstract | With the increasing demand of air transportation, various types of aircrafts and transport planes often need to be deployed at the same time and space, which leads to the contradiction between the surge of air demand and the limited airspace resources. This paper relies on the improved dynamic particle optimization algorithm to establish a relief model for regulating the contradiction of airspace demand of various aircrafts, and experimentally verifies the feasibility and advantages of the model, and simulates the mediation of hundreds of conflicting airspace demands. The model can achieve global optimization between small fitness differences, and the optimization of the scheme can be achieved with a very small number of iterations. It provides a referable solution for problems with multiple local optimal solutions and complex nonlinear problems. |
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| AbstractList | With the increasing demand of air transportation, various types of aircrafts and transport planes often need to be deployed at the same time and space, which leads to the contradiction between the surge of air demand and the limited airspace resources. This paper relies on the improved dynamic particle optimization algorithm to establish a relief model for regulating the contradiction of airspace demand of various aircrafts, and experimentally verifies the feasibility and advantages of the model, and simulates the mediation of hundreds of conflicting airspace demands. The model can achieve global optimization between small fitness differences, and the optimization of the scheme can be achieved with a very small number of iterations. It provides a referable solution for problems with multiple local optimal solutions and complex nonlinear problems. |
| Author | Wang, Yangyang Zhang, Zhaoxin Xu, Haoli Yang, Xing Liu, Xinyue Lu, Yun Zhang, Chi Gao, Xinglong Tu, Yonglin Mu, Hua |
| Author_xml | – sequence: 1 givenname: Yonglin surname: Tu fullname: Tu, Yonglin email: 1597347145@qq.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 2 givenname: Haoli surname: Xu fullname: Xu, Haoli email: xuhaoli@nudt.edu.cn organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 3 givenname: Xing surname: Yang fullname: Yang, Xing email: yangxing17@nudt.edu.cn organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 4 givenname: Yun surname: Lu fullname: Lu, Yun email: 2510371497@qq.com organization: The 94789 Troops of PLA,Nanjing,China,210018 – sequence: 5 givenname: Hua surname: Mu fullname: Mu, Hua email: muhua05@nudt.edu.cn organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 6 givenname: Yangyang surname: Wang fullname: Wang, Yangyang email: wyyedu@163.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 7 givenname: Chi surname: Zhang fullname: Zhang, Chi email: 2843571433@qq.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 8 givenname: Xinyue surname: Liu fullname: Liu, Xinyue email: 2906781293@qq.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 9 givenname: Xinglong surname: Gao fullname: Gao, Xinglong email: gaohaoqi77@163.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 – sequence: 10 givenname: Zhaoxin surname: Zhang fullname: Zhang, Zhaoxin email: xcyb182@163.com organization: College of Electronic Countermeasures, National University of Defense Technology,State Key Laboratory of Pulsed Power Laser,Hefei,China,230037 |
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| SubjectTerms | Aircraft Atmospheric modeling aviation flight conflict conflict resolution model dynamic particle swarm optimization algorithm Engineering management Heuristic algorithms Mediation Particle swarm optimization Signal processing algorithms |
| Title | Aviation Conflict Mediation Model Based on Dynamic Particle Swarm Algorithm |
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